To date, diagnosing Attention Defi cit Hyperactivity Disorder remains indeed one of the most controversial issues in contemporary psychiatry and behavioural sciences. Most of the conceptual problems regarding the validity of this diagnostic category arise from the heterogeneity of syndromal pictures and the high rate of comorbidity observed in subjects diagnosed with ADHD at all stages of the longitudinal course of the disorder. In this regard, DSM 5 increased complexity by allowing a diagnosis of comorbidity between ADHD (...) and autism spectrum disorders while these two diagnoses were mutually exclusive in DSM-IV-TR. (shrink)

This paper makes an important contribution to the ongoing debate over the validity of the psychological construct, ADHD. While not ruling out the possibility that something of value may lie at the core of this diagnosis, the authors articulate a clear set of problems with the research logic that forms the foundation of the disorder itself, reaching the conclusion that there appears to be insuffi cient, valid scientifi c evidence for the demarcation of a coherent and independent disease (...) entity. (shrink)

A pressing need for interrater reliability in the diagnosis of mental disorders emerged during the mid-twentieth century, prompted in part by the development of diverse new treatments. The Diagnostic and Statistical Manual of Mental Disorders (DSM), third edition answered this need by introducing operationalized diagnostic criteria that were field-tested for interrater reliability. Unfortunately, the focus on reliability came at a time when the scientific understanding of mental disorders was embryonic and could not yield valid disease definitions. Based on accreting (...) problems with the current DSM-fourth edition (DSM-IV) classification, it is apparent that validity will not be achieved simply by refining criteria for existing disorders or by the addition of new disorders. Yet DSM-IV diagnostic criteria dominate thinking about mental disorders in clinical practice, research, treatment development, and law. As a result, the modernDSMsystem, intended to create a shared language, also creates epistemic blinders that impede progress toward valid diagnoses. Insights that are beginning to emerge from psychology, neuroscience, and genetics suggest possible strategies for moving forward. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

In computer science, Artificial Intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Deep Learning is a new field of research. One of the branches of Artificial Intelligence Science deals with the creation of theories and algorithms that (...) allow the machine to learn by simulating neurons in the human body. Most in-depth learning research focuses on finding high-level methods. The strippers analyze a large data set using linear and nonlinear transformations. The method of deep learning is used in the detection of several diseases including blood cell diseases and their classification using the radiography of blood cells to help decision makers to know the type of blood cell and its associated diseases and the results will be presented in detail and discussed. This thesis is using python language and deep learning to detect blood cell diseases and their classifications. The proposed deep learning model was trained, validated and the tested. The accuracy of proposed model was 98.00%. (shrink)

Background: When infertility is diagnosed, physicians have the difficult task to break bad news. Their communication skills play a central role in improving patients' coping abilities and adherence to infertility treatments. However, specific guidelines and training courses on this topic are still lacking. The aim of the present study is to provide some practical advice for improving breaking bad news in infertility diagnosis through a systematic literature review of qualitative and quantitative studies. Methods: Electronic searches were performed in the (...) MEDLINE, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, and Psychology and Behavioral Sciences Collection databases. All articles focusing on the communication of the diagnosis of infertility were included. The main findings of each included article were then summarized. Results: Literature search identified 11,838 references that were screened for eligibility. Full texts of 81 articles were retrieved, and their analysis led to the inclusion of 4 articles, which treated the theme of communication of infertility only partially. The main addressed aspects concerning the communication of the infertility diagnosis were the following: the value that patients give to healthcare professionals' communication skills; the importance of giving clear information on diagnostic procedures and treatments in order to decrease patients' anxiety; and the importance of involving both partners. Conclusions: This review pointed out that the communication of the infertility diagnosis is still underinvestigated. Specific guidelines are currently not available, but other protocols could be used. Taking into account the principal aspects of communication highlighted with this review, in this study, we suggested an adaptation of the original SPIKES protocol that could be used by healthcare professionals for the communication of the infertility status. (shrink)

Alasdair MacIntyre’s work in ethics follows in the footsteps of twentieth century efforts to put the ideals of Enlightenment and modernity on trial, and his book After Virtue diagnoses a wide-spread malaise in contemporary moral discourse. As a corrective to this condition, MacIntyre offers a remedy along Aristotelian-Thomistic lines. He specifically conceives of a recovery of these lines that would allow for a common ground in moral debates which would reveal the normative and teleological character of the human good. However, (...) within these pages, I argue that MacIntyre underestimates how his moral corrective is actually a re-inscription of the Enlightenment project, and thus equally doomed to failure. I do this by sketching out three different lines. First, I present MacIntyre’s appraisal of modern moral discourse, which has long since abandoned a reliance on Aristotelian principles of ethics. Second, I outline an informative disjunction MacIntyre sets up between having to choose between a Nietzschean or an Aristotelian model of ethical action. Last, I argue that MacIntyre’s own choice, simultaneously based on, but also diverging from, Aristotle fails because his revamped account of the virtue formation so necessary for modern human flourishing leaves open a space for its development according to contingent histories and traditions, which implies an attenuated account of the virtue ethics he seeks to recover, and vindicates, rather than condemns, the Enlightenment’s attempt to liberate moral theories from its strict teleological forbears. (shrink)

This article offers an introductory analysis of the philosophical and empirical considerations having to do with the significance of psychopathy, intellectual disability and ADHD regarding one’s moral responsibility. Moral responsibility comes in degrees and is ultimately determined on social grounds. Whether a certain diagnosis and its under­pinning neuro-cognitive impairment affects one’s cognitive, emotional and moral conduct, depends also on social and relational factors.

This study aimed to survey wild species voluntarily received or rescued in the Lake District, State of Rio de Janeiro, in 2011. The research aimed to identify endangered species, quantify the groups and know the destination given to specimens. The records were obtained from the Instituto Ecológico Búzios Mata Atlântica, an NGO responsible for the Environmental Protection Area named Pau-Brasil and for the Lake District. The analysis showed that 181 animals were seized, 51% mammals (13 species), 25% reptiles (13 species), (...) 24% birds (11 species) and 1% fish (1 species). Amongst those animals, 12 species are included in the List of Endangered Brazilian Fauna Species. (shrink)

Matthew Leisinger (2020) argues that previous interpretations of John Locke’s account of akrasia (or weakness of will) are mistaken and offers a new interpretation in their place. In this essay, we aim to recapitulate part of this debate, defend a previously articulated interpretation by responding to Leisinger’s criticisms of it, and explain why Leisinger’s own interpretation faces textual and philosophical problems that are serious enough to disqualify it as an accurate reconstruction of Locke’s views. In so doing, we aim to (...) shed further light on Locke’s views on the various ways in which humans are prone to err in their pursuit of happiness. (shrink)

Benjamin Libet’s work paved the way for the neuroscientific study of free will. Other scientists have praised this research as groundbreaking. In philosophy, the reception has been more negative, often even dismissive. First, I will propose a diagnosis of this striking discrepancy. I will suggest that the experiments seem irrelevant, from the perspective of philosophy, due to the way in which they operationalize free will. In particular, I will argue that this operational definition does not capture free will properly (...) and that it is based on a false dichotomy between internal and external causes. However, I will also suggest that this problem could be overcome, as there are no obvious obstacles to an operationalization of free will that is in accord with the philosophical conception of free will. (shrink)

I argue for a new interpretation of Locke’s account of akrasia. On this interpretation, akrasia occurs on Locke’s account because certain cognitive biases endemic to the human mind dispose us to privilege present over future happiness. As a result, we end up irrationally pursuing present pleasure and the removal of present pain even as we simultaneously judge that doing so runs contrary to our own greater good. In this sense, I argue that Locke seeks to diagnose akrasia by identifying its (...) underlying psychological causes. (shrink)

Delicate Tissue Tumors (STT) are a type of sarcoma found in tissues that interface, backing, and encompass body structures. Due to their shallow recurrence in the body and their extraordinary variety, they seem, by all accounts, to be heterogeneous when seen through Magnetic Resonance Imaging (MRI). They are effortlessly mistaken for different infections, for example, fibro adenoma mammae, lymphadenopathy, and struma nodosa, and these indicative blunders have an extensive unfavorable impact on the clinical treatment cycle of patients. Analysts have proposed (...) a few AI models to characterize cancers, however none have sufficiently tended to this misdiagnosis issue. Likewise, comparative investigations that have proposed models for assessment of such cancers generally don't think about the heterogeneity and the size of the information. Thusly, we propose an AI based approach which joins another strategy of pre handling the information for highlights change, resampling methods to dispense with the predisposition and the deviation of precariousness and performing classifier tests in light of the and Deep learning Algorithm as Artificial brain organization. -/- Tumors (STT). (shrink)

Migraine is a complex neurological disorder characterized by recurrent moderate to severe headaches, accompanied by additional symptoms such as nausea, sensitivity to light and sound, and visual disturbances. Accurate and timely diagnosis of migraines is crucial for effective management and treatment. However, the diverse range of symptoms and overlapping characteristics with other headache disorders pose challenges in the diagnostic process. In this research, we propose the development of an expert system for migraine diagnosis using artificial intelligence and the (...) CLIPS (C Language Integrated Production System) framework. The expert system utilizes a rule-based inference engine to analyze patient-reported symptoms and provide reliable diagnoses or probability scores indicating the likelihood of migraine. The knowledge base of the expert system is designed based on expert knowledge obtained from medical professionals specializing in migraines. The collected knowledge is translated into a structured format suitable for the CLIPS inference engine, incorporating rules and facts to represent the diagnostic criteria and associated symptoms. The system prompts users to provide relevant information about their symptoms, medical history, and potential triggers. It applies the defined rules and facts to evaluate the likelihood of migraine and generate accurate diagnoses or probability scores. Preliminary evaluation results demonstrate the potential of the expert system as a valuable tool for diagnosing migraines. A dataset of anonymized patient records with confirmed migraine cases was used to test the system. The diagnoses generated by the expert system were compared against the known diagnoses, and a high level of accuracy was observed, with 90% of cases correctly diagnosed as migraines. These results highlight the effectiveness and reliability of the system in assisting medical professionals in the diagnosis of migraines. The proposed expert system offers several advantages for migraine diagnosis. It leverages the collective knowledge and expertise of experienced migraine specialists, providing a standardized and consistent approach to diagnosis. The system can handle large amounts of patient data and effectively analyse complex relationships between symptoms, risk factors, and diagnostic criteria. Furthermore, it offers real-time feedback and recommendations, supporting medical professionals in their clinical decision-making process. Future work involves refining the expert system based on feedback from medical experts, expanding the knowledge base to encompass a wider range of symptoms and risk factors, and conducting further evaluations to enhance its accuracy and applicability in clinical settings. The development of an expert system for migraine diagnosis has the potential to improve the diagnostic process, leading to more effective management and treatment strategies for individuals suffering from migraines. (shrink)

Objective: To evaluate the potential of arterial spin labeling (ASL) as an alternative to FDG-PET in the diagnosis of disorders of consciousness (DOC), we conducted a comparative study of the two modalities. Methods: A total of 36 DOC patients (11 female; mean age = 49.67 ± 14.54 years) and 17 healthy control (HC) participants (9 female; mean age = 31.9 ± 9.6 years) underwent both FDG-PET scans that measure metabolism via glucose uptake and ASL scans that measure cerebral blood (...) flow (CBF). CBF and metabolism in DOC and HC were compared, globally and for seven functional networks. Comparability of the two modalities was estimated using Spearman partial correlation for both global and network levels. Furthermore, a support vector machine (SVM) algorithm was used to train two classifiers to distinguish DOC patients from HC with normalized CBF or metabolism values from the seven networks. Performance of these classifiers was first evaluated through leave-one-subject-out (LOSO) cross-validation within their respective modalities. Subsequently, cross-modal validation was conducted: testing the ASL-trained classifier with PET data (ASL-to-PET validation) and vice versa (PET-to-ASL validation). Performance of each classifier was assessed using receiver operating characteristic (ROC) analysis, with area under the curve (AUC) as the metric. Results: Both modalities showed agreement in decreased CBF and metabolism in DOC patients compared to HC, at both global and network levels. The global brain and most networks showed significant positive partial correlation between CBF and metabolism. SVM classifiers, utilizing activity from seven networks as features, performed well in the both LOSO cross-validation (ASL-trained classifier: accuracy = 83.02%, AUC = 0.95; PET-trained classifier: accuracy = 98.12%, AUC = 0.98) and cross-modal validation (ASL-to-PET validation: accuracy = 84.90%, AUC =0.92; PET-to-ASL validation: accuracy = 73.58%, AUC = 0.93). Conclusion: Our results demonstrate that ASL provides information comparable to FDG-PET for DOC patients; moreover, classifiers trained on ASL data perform comparably well to those trained on FDG-PET data. Therefore, ASL could be a valuable alternative to FDG-PET in the clinical diagnosis of DOC, especially in light of its advantages: ease of acquisition, avoidance of radiation exposure, brevity of scanning time, and lower-cost. (shrink)

Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against a (...) background of potential cross reactivity with other flavi-viruses, difficulties in distinguishing primary from secondary infections and technological problems related to the fact that most dengue endemic regions are relatively poor of resources .Objectives: to help doctors and patients in diagnosing Dengue Disease and give them the information of how to prevent Dengue Disease and to be able to understand the signs and symptoms of Dengue Disease. Methods: We collected all relevant material for Dengue Disease. Then we designed and implemented a knowledge based system for diagnosing Dengue Disease using SL5 Object Language. Results: The knowledge based system was evaluated by a group of Patients and specialized doctors and they found it very friendly and easy to use. (shrink)

Hegel reads the poet Novalis as an expression of terminal irony, a pathological case of Gemüt, where the conscious mind is alienated from reality and turns its negativity inwards on the contents of its own natural soul. The condition of self-feeling, presented in Hegel’s “Anthropology”, is a self-consumption that manifests itself somatically in the physical disease (consumption) from which Novalis dies. The poet’s literary production represents a pathological fixation that impedes the dynamic organicity of Hegelian Science. As such, Novalis’s mental (...) illness and death constitute an expression of romantic irony and an ongoing threat to Hegel’s philosophy. (shrink)

The notes for Theodor Adorno’s courses in the 1960’s are important resources not only for an understanding of his magnum opus, Negative Dialectics, but also for developing critical responses to this problematic philosophical heir of idealism. Particularly noteworthy among the volumes that have appeared so far is from Adorno’s 1965 course on metaphysics where he engages in a sustained reading of Aristotle’s Metaphysics and explicitly connects it with the project of Negative Dialectics. Adorno’s chief concern is to demonstrate, by way (...) of Eduard Zeller’s work, that Aristotle is indeed a proto-idealist and that his ontology is comprised of a fundamental dualism. Adorno is not an informed reader of Aristotle, as his reliance on Zeller makes clear, but he succeeds in drawing the reader’s attention to the organizing force exerted by  upon . The interest in this organizing force is motivated by an interest in the ethics that is consequent upon it: an ethics that ignores the sufferings of the concrete in the name of a rational ideal. While there are echoes of this in Aristotle’s ethical writings, his account of imagination in De Anima ought to give pause to an account as reductive as Adorno’s. In De Anima, Aristotle provides an account of the imagination () that makes it a power reducible neither to  nor to . The imagination, a power of the bodily senses, and especially sight, is a power that grants to thinking its power but is itself the unmotivated actualization of the purely potential. This essay argues that such a power resists interpretation into any dialectical schema insofar as it constitutes a distinct power of the human animal. At the same time, such an interpretation provides a possible route out of the ethical impasse of the unthinkable concrete. (shrink)

Epistemologists typically assume that the acquisition of knowledge from testimony is not threatened at the stage at which audiences interpret what proposition a speaker has asserted. Attention is instead typically paid to the epistemic status of a belief formed on the basis of testimony that it is assumed has the same content as the speaker’s assertion. Andrew Peet has pioneered an account of how linguistic context sensitivity can threaten the assumption. His account locates the threat in contexts in which an (...) audience’s evidence under-determines which proposition a speaker is asserting. I argue that Peet’s epistemic uncertainty account of the threat is mistaken and I propose an alternative. The alternative locates the threat in contexts that provide factors that give audiences a mistaken psychological certainty or confidence that a speaker has asserted a proposition she has not. (shrink)

Diagnosing flatulence involves a thorough assessment of an individual's symptoms, medical history, and, if necessary, the use of diagnostic tests. Healthcare providers gather information about the patient's medical background and conduct a physical examination to identify any signs of gastrointestinal issues. Dietary habits are evaluated, and potential triggers are identified through an elimination diet. Diagnostic tests such as breath tests, stool analysis, or imaging studies may be performed to further investigate the underlying causes of excessive flatulence. Accurate diagnosis is (...) crucial for effective management and treatment of flatulence, enabling individuals to gain control over their symptoms and address any underlying conditions. (shrink)

Hájek has recently presented the following paradox. You are certain that a cable guy will visit you tomorrow between 8 a.m. and 4 p.m. but you have no further information about when. And you agree to a bet on whether he will come in the morning interval (8, 12] or in the afternoon interval (12, 4). At first, you have no reason to prefer one possibility rather than the other. But you soon realise that there will definitely be a future (...) time at which you will (rationally) assign higher probability to an afternoon arrival than a morning one, due to time elapsing. You are also sure there may not be a future time at which you will (rationally) assign a higher probability to a morning arrival than an afternoon one. It would therefore appear that you ought to bet on an afternoon arrival. The paradox is based on the apparent incompatibility of the principle of expected utility and principles of diachronic rationality which are prima facie plausible. Hájek concludes that the latter are false, but doesn't provide a clear diagnosis as to why. We endeavour to further our understanding of the paradox by providing such a diagnosis. (shrink)

In modern hospitals in developed countries, deaths are determined usually after a prearranged schedule of resuscitative efforts. By default, death is diagnosed and determined after “full code” or after the failure of intensive resuscitation. In end-of-life contexts, however, various degrees of less-than-full resuscitation and sometimes no resuscitation are allowed after the consent and shared decision-making of the patient and/or surrogates. The determination of brain death is a unique exception in these contexts because such an end-of-life care plan is usually not (...) offered until after brain death is declared. This essay analyzes and critiques three arguments for denying the family and/or surrogate a chance to consent to or forego the diagnostic protocol of brain death and choose an alternative end-of-life plan. First, opponents of consent for the determination of brain death argue that presenting it as a selectable end-of-life plan undermines the integrity of death determination. The second argument is that it is inconsistent to allow foregoing the determination of brain death when the determination of circulatory death is non-negotiable. The third argument is that allowing the patient/surrogate to forego the determination of brain death would jeopardize the fair and appropriate utilization of intensive care resources and potentially reduce organ donor pools. After closer conceptual examinations of these three arguments, this essay concludes that these arguments are conceptually and morally problematic. It defends an alternative patient-centered end-of-life care plan based on consent and shared decision-making. (shrink)

The objective of the paper is to implement and validate diagnosis in the medical field via refined neutrosophic fuzzy logic (RNFL). As such, we have proposed a Max-Min composition (MMC) method in RNFL. This method deals with the diagnosis under certain constraints like uncertainty and indeterminacy. Further, we have considered the diagnosis problems to validate the sensitivity analysis of the novel multi attribute decision-making technique. Finally, we gave the graphical representations and compared the obtained results with other (...) existing measures in refined neutrosophic fuzzy sets. (shrink)

In my previous paper I argued that if in vitro fertilization (IVF) is legal and practiced there is no moral ground to object to legalization of preimplantation genetic diagnosis (PGD). My opponent raises an objection that my paper “fails to address the ethical argumentation of one key opponent of IVF – the Catholic Church”. In this reply I show that her/his thesis that embryos created during IVF are in ‘ethical limbo’ and “fall outside the moral universe of Christian ethics” (...) does not undermine my argumentation and masks the serious problem Catholics have with the moral status of early embryos. (shrink)

The problems of contemporary states are in large part “affective disorders”; they are failures of states to properly understand and coordinate the emotions of the individuals within and in some instances outside the state. By excluding, imprisoning, and marginalizing members of their societies, states create internal enemies who ultimately enervate their own power and the possibility of peace and freedom within the state. Spinoza’s political theory, based on the notion that the best forms of state are those that coordinate the (...) power and emotions of those within a state, offers us both a diagnosis of and a cure for these affective disorders. In this paper I will outline Spinoza’s notion of the power of the state as a function of the power and coordination of the emotions of its citizens, and show that when the state contracts an affective disorder, such as excessive crime, rebellion, terrorism, etc. the state has failed to properly empower, include and coordinate the passions of the multitude of its citizens and subjects. (shrink)

Abstract: malaria is one of the most frequent hemoparasitic infections in tropical and sub-tropical countries. Malaria in Sudan is the major public health problem. This study was aimed to investigate the association of intraleukocytic pigment with malaria infection (severity, diagnosis and prognosis), and to investigate the correlation of parasite density levels with Malaria Severity. A total of 176 participants was drawn from the population of sudanese patient above 5 years, who attended or were admitted to the Bashayer Hospital, with (...) diagnosis suggestive of malaria, they were selected for inclusion in the study. Blood films were examined first for malaria parasites diagnosis ,this was followed by detection of malaria pigment in both negative and positive films.Then Immunochromatography test was done, Subsequently haemoglobin concentration was determined. This study was approves that malaria pigment in peripheral blood leukocytes is evident for malaria disease , and makes the method of pigment determination appropriate and useful in malaria diagnosis, especially in patients with an illness consistent clinically with malaria but with negative blood smear due to haemolytic anaemia .A total of 176, 73 male and 103 female aged from 7 years to 69 years , drawn to Bashayer hospital with symptoms of malaria showed ICT positive result .Blood films were positive in 98(55.7%) and negative in 78 (44.3%) of patients . Malaria pigment was observed with the mean (22.07). There was an association between ICT and malaria pigment (P-value = 0.000).There was no association between BF and malaria pigment ( P-value = 0.40).This study also approved that malaria pigment can be used in prognosis, were thirty five patient showed complications(19.9%) and 141 showed no complication(80.1%) ,there was association between complications and malaria pigment ( P-value = 0.004) .This study also validates the presence of malaria pigment in leukocyte as a marker for disease severity, there was association between severity and malaria pigment (P-value = 0.02). While there is no association between density and severity (P-value = 0.980). So we conclued, intraleukocytic malaria pigment produced by parasites during intra erythrocytic development is associated with severe disease, mortality and it is a useful diagnostic indicator in anaemic patients with negative blood smears. The varied complexities of the current diagnostic methods make the method of pigment determination appropriate and useful. Secondly, malaria pigment is significantly associated with severe malaria. Thirdly, parasitaemia levels are neither associated nor correlated with malaria severity and therefore parasitaemia alone is not a reliable measure of malaria severity. We recommend the use of malaria pigment as marker for malaria disease severity. We recommend that parasitaemia should not be used alone as an indicator of malaria severity. We further recommend that, the presence of pigment in leukocytes to be adopted for diagnosis of malaria especially in cases of negative blood films, and recommend using malaria pigment as indicator for malaria prognosis. (shrink)

In this chapter, our focus is the role played by notions of rationality in the diagnosis of mental disorders, and in the practice of overriding patient autonomy in psychiatry. We describe and evaluate different hypotheses concerning the relationship between rationality and diagnosis, raising questions about what features underpin psychiatric categories. These questions reinforce widely held concerns about the use of diagnosis as a justification for overriding autonomy, which have motivated a shift to mental incapacity as an alternative (...) justification. However, this approach too has recently been criticized from a mental disability rights perspective. Our analysis of the relationship between mental capacity and rationality is used to illuminate these concerns, and to investigate further the relationship between rationality and psychiatric diagnosis. (shrink)

The article analyses the meta- epistemological problem of the justification of a theory of knowledge. The first section is dedicated to the morphological reconstruction of the problem, the second presents a diagnosis of the problem in terms of a metatheoretical and logically non- contradictory "petitio principii" and the third delineates the limits within which strategies for the treatment of the problem could be elaborated.

Many existing biomedical vocabulary standards rest on incomplete, inconsistent or confused accounts of basic terms pertaining to diseases, diagnoses, and clinical phenotypes. Here we outline what we believe to be a logically and biologically coherent framework for the representation of such entities and of the relations between them. We defend a view of disease as involving in every case some physical basis within the organism that bears a disposition toward the execution of pathological processes. We present our view in the (...) form of a list of terms and definitions designed to provide a consistent starting point for the representation of both disease and diagnosis in information systems in the future. (shrink)

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...) it is prone to some common diseases that affect the plant's growth. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...) identifies the most influential features in breast cancer diagnosis, shedding light on the key determinants of malignancy. Notably, we find that factors such as fractal dimension_se, symmetry worst, compactness_worst, symmetry_se, and smoothness_se play pivotal roles in distinguishing between benign and malignant cases. This research contributes to the ongoing efforts to enhance breast cancer diagnosis, providing valuable insights into feature importance and showcasing the potential of neural networks in medical applications. Our findings have implications for improving early detection and treatment strategies, ultimately contributing to improved patient outcomes. (shrink)

The legacy of the Platonic dialogues may well lie, not in any classical idealist “doctrine of forms,” but in an inquisitive stance towards the puzzle behind any such doctrine—how thought can be about anything at all. This Platonic puzzle may, however, yield a different guise of idealism that is recognizably diagnostic: it aims to dispel our worry about thought’s objectivity as a confusion, engendered by a self-alienation of thought. These themes of diagnosis and idealism resurface in Wittgenstein, who in (...) his treatment of rules calls for an understanding of thought’s normativity from within. This is taken up by Cora Diamond, who urges philosophy to attend to thought’s real needs by exorcizing any desire for agreement with something other than itself. I argue that Wittgenstein and Diamond lead us back to Kant’s idealism, which identifies transcendental realism as the deep-seated prejudice at the root of the puzzle. (shrink)

Abstract—Breast cancer is considered the second most common cancer in women compared to all other cancers. It is fatal in less than half of all cases and is the main cause of mortality in women. It accounts for 16% of all cancer mortalities worldwide. Early diagnosis of breast cancer increases the chance of recovery. Data mining techniques can be utilized in the early diagnosis of breast cancer. In this paper, an academic experimental breast cancer dataset is used to (...) perform a data mining practical experiment using the Waikato Environment for Knowledge Analysis (WEKA) tool. The WEKA Java application represents a rich resource for conducting performance metrics during the execution of experiments. Pre-processing and feature extraction are used to optimize the data. The classification process used in this study was summarized through thirteen experiments. Additionally, 10 experiments using various different classification algorithms were conducted. The introduced algorithms were: Naïve Bayes, Logistic Regression, Lazy IBK (Instance-Bases learning with parameter K), Lazy Kstar, Lazy Locally Weighted Learner, Rules ZeroR, Decision Stump, Decision Trees J48, Random Forest and Random Trees. The process of producing a predictive model was automated with the use of classification accuracy. Further, several experiments on classification of Wisconsin Diagnostic Breast Cancer and Wisconsin Breast Cancer, were conducted to compare the success rates of the different methods. Results conclude that Lazy IBK classifier k-NN can achieve 98% accuracy among other classifiers. The main advantages of the study were the compactness of using 13 different data mining models and 10 different performance measurements, and plotting figures of classifications errors. (shrink)

How we ought to diagnose, categorise and respond to spectrum disabilities such as autism and Attention Deficit/Hyperactivity Disorder (ADHD) is a topic of lively debate. The heterogeneity associated with ADHD and autism is described as falling on various continua of behavioural, neural, and genetic difference. These continua are varyingly described either as extending into the general population, or as being continua within a given disorder demarcation. Moreover, the interrelationships of these continua are likewise often vague and subject to (...) diverse interpretations. -/- In this paper, I explore geneticists' and self-advocates’ perspectives concerning autism and ADHD as continua. These diagnoses are overwhelmingly analysed as falling on a continuum or continua of underlying traits, which supports the notion of “the neurodiversity spectrum”, i.e., a broader swath of human neural and behavioural diversity on which some concentrations of different functioning are diagnosed. I offer a taxonomy of conceptions of the genetic, phenotypic, and endophenotypic dimensionality within and beyond these diagnostic categories, and suggest that the spectrum of neurodiversity is characteristically endophenotypic. (shrink)

While research on Attention Deficit Hyperactivity Disorder (ADHD) has traditionally focused on cognitive and behavioral deficits, there is increasing interest in exploring possible resources associated with the disorder. In this paper, we argue that the attention-patterns associated with ADHD can be understood as expressing an alternative style of inquiry, or “zetetic” style, characterized mainly by a lower barrier for becoming curious and engaging in inquiry, and a weaker disposition to regulate curiosity in response to the cognitive and practical (...) costs associated with inquiry. Exploring this zetetic style from an epistemological perspective, we show that it is often epistemically rational and can be advantageous in important respects. We close by suggesting that the very aspects of the zetetic style that might at times render it disadvantageous from the point of view of individual subjects with ADHD, will often confer epistemic benefits to the social group that the subjects are part of. (shrink)

A diagnostic process is an investigative process that takes a clinical picture as input and outputs a diagnosis. We propose a method for distinguishing diagnoses that are warranted from those that are not, based on the cognitive processes of which they are the outputs. Processes designed and vetted to reliably produce correct diagnoses will output what we shall call ‘warranted diagnoses’. The latter are diagnoses that should be trusted even if they later turn out to have been wrong. Our (...) work is based on the recently developed Cognitive Process Ontology and further develops the Ontology of General Medical Science. It also has applications in fields such as intelligence, forensics, and predictive maintenance, all of which rely on vetted processes designed to secure the reliability of their outputs. (shrink)

In this paper I present an argument in favour of a parental duty to use preimplantation genetic diagnosis (PGD). I argue that if embryos created in vitro were able to decide for themselves in a rational manner, they would sometimes choose PGD as a method of selection. Couples, therefore, should respect their hypothetical choices on a principle similar to that of patient autonomy. My thesis shows that no matter which moral doctrine couples subscribe to, they ought to conduct the (...) PGD procedure in the situations when it is impossible to implant all of the created embryos and if there is a significant risk for giving birth to a child with a serious condition. (shrink)

An examination of two recent documents of Catholic Social Doctrine, Caritas in Veritate and Vocation of the Business Leader, is undertaken to uncover their assessment of our current cultural and moral crisis, of which our present economic distress is but one aspect, and their proposal for cultural renewal including a return to sound economic decision making. The intellectual commitments of molders of the modern mind such as Bacon, Descartes, and Hobbes severed morality at its metaphysical roots. Destroying the anthropological underpinnings (...) of ethics catapults the contemporary world into a state of nihilism. In such a condition economic disorder is inevitable. The human person is crushed in a regime that searches for more relentlessly. The demand for metaphysical and moral reconstruction is met by Pope Benedict XVI with his insistence on receptivity to what is. Contemplation of an ultimate reality given to us takes us to the Person of Jesus Christ. The Christian faith is the context of authentic integral human development. Being made in the image of God gives every human person an inviolable dignity and makes every person subject to transcendent moral norms. A truth-filled love informs the conduct of enterprise. Goods that are truly goods and services that truly serve are produced or supplied. Promotional efforts are conducive to the pursuit of wisdom. People are given meaningful work that utilizes and develops their higher faculties and are let in on the financial success of the venture. The environment is respected as a home place ought to be. The Christian business leader can have a transformative effect on the business world through the power of grace. (shrink)

In clinical medicine, a diagnosis can offer an explanation of a patient's symptoms by specifying the pathology that is causing them. Diagnoses in psychiatry are also sometimes presented in clinical texts as if they pick out pathological processes that cause sets of symptoms. However, current evidence suggests the possibility that many diagnostic categories in psychiatry are highly causally heterogeneous. For example, major depressive disorder may not be associated with a single type of underlying pathological process, but with a range (...) of different causal pathways, each involving complex interactions of various biological, psychological, and social factors. This paper explores the implications of causal heterogeneity for whether psychiatric diagnoses can be said to serve causal explanatory roles in clinical practice. I argue that while they may fall short of picking out a specific cause of the patient's symptoms, they can nonetheless supply different sorts of clinically relevant causal information. In particular, I suggest that some psychiatric diagnoses provide negative information that rules out certain causes, some provide approximate or disjunctive information about the range of possible causal processes, and some provide causal information about the relations between the symptoms themselves. (shrink)

In its recent statement 'Sex Selection and Preimplantation Genetic Diagnosis', the Ethics Committee of the American Society of Reproductive Medicine concluded that preimplantation genetic diagnosis for sex selection for non-medical reasons should be discouraged because it poses a risk of unwarranted gender bias, social harm, and results in the diversion of medical resources from genuine medical need. We critically examine the arguments presented against sex selection using preimplantation genetic diagnosis. We argue that sex selection should be available, (...) at least within privately funded health care. (shrink)

The field of special pedagogy has received increased global attention in recent years. This resulted in the development of a variety of schooling (or non-schooling) and of teaching methods that are tailored to the needs of non-neurotypical individuals. Regardless of whether or not they wish to be “healed”, their needs require special consideration. This study aims to determine if incorporating anime into teaching methods would benefit individuals with ADHD. In this article, we will consider the desires of people with (...) ADHD, the functioning of their brains, the effect of prescribed medications, as well as the impact of video and the need for it in relation to contemporary educational models and methods. In support of this, three short surveys conducted at the onset of the pandemic will be presented, along with anime recommendations for each education field. Do teachers and professors have the freedom to teach as they wish, the right to use what methods they want. or the responsibility to find and choose the best educational methods for their students? Do the neurodiverse individuals have the freedom to discontinue their education or the right to receive a proper education? Which prevails? (shrink)

For two reasons, physics occupies a preeminent position among the sciences. On the one hand, due to its recognized position as a fundamental science, and on the other hand, due to the characteristic of its obvious certainty of knowledge. For both reasons it is regarded as the paradigm of scientificity par excellence. With its focus on the issue of epistemic certainty, philosophy of science follows in the footsteps of classical epistemology, and this is also the basis of its 'judicial' pretension (...) vis-à-vis physics. Whereas physics is in a strong competitive relationship to philosophy and epistemology with respect to its position as a fundamental science - even on the subject of cognition, as the pretension of 'reductionism' shows. It is the thematic focus on epistemic certainty itself, however, that becomes the root of a profound epistemological misunderstanding of physics. The reason for this is twofold: first, the idea of epistemic certainty as a criterion of 'demarcation' between physics and metaphysics obscures the view of the much deeper heuristic differences between the two kinds of knowledge. The second, related, reason is that epistemology does not ask the question of the reason for the epistemic certainty of physics; instead, it sets itself the task of 'legitimating' physical knowledge, and this, crucially, with reference to the interpretation of the process of cognition. Thus, as a matter of course, all epistemological assumptions about this process – including the common descriptive understanding of knowledge and its ontological premises – flow into the interpretation of physics as a science. Consequently, this undertaking is not only doubtful from the ground up, because it presupposes for its meaningfulness nothing less than certainty of knowledge concerning (the interpretation of) the process of knowledge, thereby relying on mere convictions; moreover, by projecting the descriptive, 'metaphysical' concept of knowledge onto physics, it leads to unsolvable epistemological problems and corresponding resignative conclusions concerning the claim of knowledge of physics. In other words, epistemology itself builds, due to its basic assumptions, a major obstacle for an adequate understanding of physics. Physics' cross-object, deconstructive approach to knowledge implies a completely different, non-descriptive understanding of its concepts, with consequences that extend far beyond itself due to its status as a basic science. (shrink)

Extending the application of preimplantation genetic diagnosis (PGD) to screen embryos for non-medical traits such as gender, height and intelligence, raises serious moral, legal, and social issues. In this paper I consider the possibility of using PGD to select the sexual orientation of offspring. After considering ®ve potential objections, I conclude that parents should be permitted to use PGD to choose the sexual orientation of their children.

Heart palpitations, while often benign, can sometimes be indicative of severe underlying conditions requiring immediate intervention. Accurate and swift diagnosis thus remains a clinical priority. "A CLIPS-Based Expert System for Heart Palpitations Diagnosis" represents a novel approach to addressing this challenge, harnessing the power of artificial intelligence and rule-based expert systems. Specifically, this system applies a suite of 7 if-then rules to evaluate potential heart palpitations causes and assign one of three outcomes: 1) A confirmed diagnosis of (...) heart palpitations, 2) A suspected link to cardiovascular diseases, and 3) A possible association with anxiety or stress disorders. The expert system offers an intuitive user interface, allowing for seamless symptom input and instant diagnosis based on user-provided information. This paper explores the various phases of this expert system's lifecycle, including design, implementation, and evaluation. Furthermore, the study situates the system within the broader discourse on rule-based expert systems for heart palpitations diagnosis, critically analyzing their efficiency, potential pitfalls, and ongoing challenges. Through this research, the value of integrating rule-based expert systems in clinical diagnostic processes is highlighted, illustrating its capacity to enhance diagnostic accuracy and patient outcomes. (shrink)

Background: The castor bean is a large grassy or semi-wooden shrub or small tree. Any part of the castor plant parts can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in castor culture and detect the symptoms in each disease. Also images is showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis (...) of the disease. Methods: In this paper, the expert system is designed for the ability of agricultural engineers to detect and diagnose disease of castor like as: seeding blight, alternaria blight, cercospora leaf spot, powdery mildew and wilt. This system presents the disease symptoms, survival and spread, favorable conditions and image for each disease. Clips and Delphi expert system languages are used for designing and implementing the proposed expert system. Results: The expert system in the diagnosis of castor diseases was assessed by farmers and agricultural engineers and they were satisfied and accepted with its quality of performance. Conclusions: The expert system is easy for farmers and people have experience in the plant of castor to detect and diagnosis the symptoms that may face this plant from several disease. (shrink)

Background: There is no doubt that strawberry diseases are one of the most important reasons that led to the destruction of strawberry plants and their crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help in avoiding damage to these plants. The expert system correctly (...) diagnoses strawberry disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Farmers and students interested in agriculture strawberry in diagnosing many of the strawberry diseases such as: Leaf Spots, Grey Mold, Red Stele/Red Core, Wilt, Powdery Mildew, Alternaria Spot, Black Root Rot, Anthracnose (black spot), and Angular Leaf Spot. The proposed expert system presents an overview about strawberry diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. Results: The proposed strawberry diseases diagnosis expert system was evaluated by Farmers and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Farmers with strawberry problem and students interested in agriculture strawberry. (shrink)

Background: Broccoli is an edible green plant in the cabbage family (family Brassicaceae, genus Brassica) whose large flowering head, stalk and small associated leaves are eaten as a vegetable. A leaf of Broccoli might be affected of Several Diseases descriped in this paper . When symptoms is encountered, it requires some kind of medical care. If appropriate Survival of Broccoli Diseases is not taken quickly, it can lead to Broccoli to die . Objectives: The main goal of this expert system (...) is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Farmers in diagnosing many of the broccoli diseases such as : Damping Off,Club root of crucifers or Finger and toe disease,Alternaria leaf spot,Black rot,Downy mildew, and White rust. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

Background: Arthritis is very common but is not well understood. Actually, “arthritis” is not a single disease; it is an informal way of referring to joint pain or joint disease. There are more than 100 different types of arthritis and related conditions. People of all ages, sexes and races can and do have arthritis, and it is the leading cause of disability in America. More than 50 million adults and 300,000 children have some type of arthritis. It is most common (...) among women and occurs more frequently as people get older. Common arthritis joint symptoms include swelling, pain, stiffness and decreased range of motion. Symptoms may come and go. They can be mild, moderate or severe. They may stay about the same for years, but may progress or get worse over time. Severe arthritis can result in chronic pain, inability to do daily activities and make it difficult to walk or climb stairs. Arthritis can cause permanent joint changes. These changes may be visible, such as knobby finger joints, but often the damage can only be seen on X-ray. Some types of arthritis also affect the heart, eyes, lungs, kidneys and skin as well as the joints. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Orthopedist in diagnosing Arthritis disease through its symptoms such as: pain on pressure in a joint , Inflammation indicated by joint swelling, Stiffness especially in the morning , Loss of flexibility of joint, Limited, joint movement, Deformity of the joints , Weight loss and fatigue , Non-specific fever and Crepitus. The proposed expert system presents an overview about Arthritis disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Arthritis disease diagnosis expert system was evaluated by Orthopedics students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Orthopedist, patients with arthritis and newly graduated Orthopedics students. (shrink)

Let’s begin by imagining a hypothetical psychotic illness called “Schneider’s Disease”, recognized for over 100 years. Let’s assume there has been great controversy as regards the “most valid” set of diagnostic criteria for SD.