Results for 'Grave disease'

948 found
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  1.  39
    Graves' Disease: Current Knowledge and Management.Ghaffar Irum - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):145-156.
    This review was conducted to examine the causes, diagnoses, clinical manifestations, and available treatments for Graves' disease. Keywords like "Graves' disease," "radioactive iodine," "etiology," and "treatment" were used to search for data pertaining to Textbooks on endocrinology and other papers from these sources were also located. The introduction, etiology, risk factors, symptoms, diagnosis, course of treatment, and the contribution of many factors to the beginning of Graves' disease are all covered in this review article.
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  2. Trascendenza dal sé ed espressività: Costituzione dell'identità personale ed esemplarità.Guido Cusinato - 2012 - Acta Philosophica 21 (2):259 - 284.
    There have been innumerable attempts to characterize personal identity either in terms of psychological continuity or in terms of the linear and self-referential process of reproduction of one's self. I will defend the thesis according to which personal identity emerges mainly as a process of transcendence of one's own "minimal self". It is precisely by means of this critical distancing from his self, I contend, that the individual learns to see himself under a new perspective as far as to experience (...)
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  3. Epidemics and food security: the duties of local and international communities.Angela K. Martin - 2021 - In Hanna Schübel & Ivo Wallimann-Helmer (eds.), Justice and food security in a changing climate. Wageningen Academic Publishers. pp. 408-413.
    Over 60% of all epidemics have a zoonotic origin, that is, they result from the transmission of infectious diseases from animals to humans. The spill-over of diseases often happens because humans exploit and use animals. In this article, I outline the four most common interfaces that favour the emergence and spread of zoonotic infectious diseases: wildlife hunting, small-scale farming, industrialised farming practices and live animal markets. I analyse which practices serve human food security – and thus have a non-trivial purpose (...)
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  4. Fisiologia e Patologias do Puerpério na Reprodução de Bovinos.Emanuel Isaque Cordeiro da Silva & Emanuel Isaque da Silva - manuscript
    PUERPÉRIO EM BOVINOS -/- INTRODUÇÃO -/- O puerpério é definido como o período entre o parto e a apresentação do primeiro estro fértil. Dois processos ocorrem durante o puerpério: a involução uterina e o início da atividade ovariana pós-parto. Em vacas leiteiras, os cuidados médicos pós-parto são essenciais nos programas de manejo, uma vez que as patologias uterinas são diagnosticadas e tratadas nesse período para que a vaca esteja em ótimas condições para ser inseminada, uma vez terminado o período de (...)
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  5. Environmental Concerns in Guru Granth Sahib.Devinder Pal Singh - 2010 - The Sikh Review 58 (3):16-22.
    All the biotic and abiotic factors that act on an organism, population, or ecological community and influence its survival and development constitute its environment. Biotic factors include the organisms themselves, their food, and their interactions. Abiotic factors include such items as sunlight, soil, air, water, climate, and pollution. Organisms respond to changes in their environment by evolutionary adaptations in form and behaviour. At present humanity is facing great challenges for its survival as both these factors have come under great stress (...)
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  6. Microethics for healthcare data science: attention to capabilities in sociotechnical systems.Mark Graves & Emanuele Ratti - 2021 - The Future of Science and Ethics 6:64-73.
    It has been argued that ethical frameworks for data science often fail to foster ethical behavior, and they can be difficult to implement due to their vague and ambiguous nature. In order to overcome these limitations of current ethical frameworks, we propose to integrate the analysis of the connections between technical choices and sociocultural factors into the data science process, and show how these connections have consequences for what data subjects can do, accomplish, and be. Using healthcare as an example, (...)
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  7. Beauty is in the Eye of the Beholder (but only when you don’t agree with me... ).David C. Graves - 1997 - Cogito 11 (3):207-214.
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  8. Theological Foundations for Moral Artificial Intelligence.Mark Graves - 2022 - Journal of Moral Theology 11 (Special Issue 1):182-211.
    The expanding social role and continued development of artificial intelligence (AI) needs theological investigation of its anthropological and moral potential. A pragmatic theological anthropology adapted for AI can characterize moral AI as experiencing its natural, social, and moral world through interpretations of its external reality as well as its self-reckoning. Systems theory can further structure insights into an AI social self that conceptualizes itself within Ignacio Ellacuria’s historical reality and its moral norms through Thomistic ideogenesis. This enables a conceptualization process (...)
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  9. The Scottish Philosophy of Common Sense.S. A. Grave - 1960 - Oxford: Oxford University Press.
    The purpose of this book is to piece together in some detail the philosophy of Common Sense from its fragmentary state in the writings of Thomas Reid and the other members of his school, to consider it in relation to David Hume, and to try and show the significance of its account of the nature and authority of common sense for present-day discussion.
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  10. Emergent Models for Moral AI Spirituality.Mark Graves - 2021 - International Journal of Interactive Multimedia and Artificial Intelligence 7 (1):7-15.
    Examining AI spirituality can illuminate problematic assumptions about human spirituality and AI cognition, suggest possible directions for AI development, reduce uncertainty about future AI, and yield a methodological lens sufficient to investigate human-AI sociotechnical interaction and morality. Incompatible philosophical assumptions about human spirituality and AI limit investigations of both and suggest a vast gulf between them. An emergentist approach can replace dualist assumptions about human spirituality and identify emergent behavior in AI computation to overcome overly reductionist assumptions about computation. Using (...)
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  11. Locke and Burnet.S. A. Grave - 1981
    Amongst the anonymous critics of Locke's "Essay concerning Human Understanding" was a writer of very considerable contemporary eminence, Thomas Burnet. Burnet's criticism is contained in "Remarks upon an Essay Concerning Humane Understanding" and in two subsequent sets of Remarks. This monograph surveys the clash between Locke and Burnet on morality, certainty in revealed religion, and the immortality of the soul.
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  12. Understanding Religion.S. A. Grave - 2003 - Mt Pleasant, Australia: The Fox Press.
    The purpose of this book is to further an understanding of religion -- not of the kind that might come from psychological or sociological enquiry -- but an understanding from the inside, so to speak, of the subject-matter of such explanatory enquiries. An understanding of the kind possessed by someone who, firmly believing in a religion, has thought about the nature of religion. The book aims to increase this kind of understanding where it already exists, and in its absence, at (...)
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  13. Folk intuitions and the conditional ability to do otherwise.Thomas Nadelhoffer, Siyuan Yin & Rose Graves - 2020 - Philosophical Psychology 33 (7):968-996.
    In a series of pre-registered studies, we explored (a) the difference between people’s intuitions about indeterministic scenarios and their intuitions about deterministic scenarios, (b) the difference between people’s intuitions about indeterministic scenarios and their intuitions about neurodeterministic scenarios (that is, scenarios where the determinism is described at the neurological level), (c) the difference between people’s intuitions about neutral scenarios (e.g., walking a dog in the park) and their intuitions about negatively valenced scenarios (e.g., murdering a stranger), and (d) the difference (...)
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  14. In Defense of Animal Universalism.Blake Hereth, Shawn Graves & Tyler John - 2017 - In T. Ryan Byerly & Eric J. Silverman (eds.), Paradise Understood: New Philosophical Essays about Heaven. Oxford University Press. pp. 161-192.
    This paper defends “Animal Universalism,” the thesis that all sentient non-human animals will be brought into Heaven and remain there for eternity. It assumes that God exists and is all-powerful, perfectly loving, and perfectly just. From these background theses, the authors argue that Animal Universalism follows. If God is perfectly loving, then God is concerned about the well-being of non-human animals, and God chooses to maximize the well-being of each individual animal when doing so does not harm other individual creatures (...)
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  15. Partisanship, Humility, and Epistemic Polarization.Thomas Nadelhoffer, Rose Graves, Gus Skorburg, Mark Leary & Walter Sinnott Armstrong - 2021 - In Alessandra Tanesini & Michael P. Lynch (eds.), Polarisation, Arrogance, and Dogmatism: Philosophical Perspectives. London, UK: Routledge. pp. 175-192.
    Much of the literature from political psychology has focused on the negative traits that are positively associated with affective polarization—e.g., animus, arrogance, distrust, hostility, and outrage. Not as much attention has been focused on the positive traits that might be negatively associated with polarization. For instance, given that people who are intellectually humble display greater openness and less hostility towards conflicting viewpoints (Krumrei-Mancuso & Rouse, 2016; Hopkin et al., 2014; Porter & Schumann, 2018), one might reasonably expect them to be (...)
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  16. To Die or Not to Die. [REVIEW]Larry R. Churchill, Daniel Callahan, Elizabeth A. Linehan, Anne E. Thal, Frances A. Graves, Alice V. Prendergast, Donald G. Flory & John Hardwig - 1997 - Hastings Center Report 27 (6):4.
    Letters commenting on Hardwig, J "Is There a Duty to Die?" with a reply to those letters by the author.
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  17. Health, Disease, and the Medicalization of Low Sexual Desire: A Vignette-Based Experimental Study.Somogy Varga, Andrew J. Latham & Jacob Stegenga - forthcoming - Ergo.
    Debates about the genuine disease status of controversial diseases rely on intuitions about a range of factors. Adopting tools from experimental philosophy, this paper explores some of the factors that influence judgments about whether low sexual desire should be considered a disease and whether it should be medically treated. Drawing in part on some assumptions underpinning a divide in the literature between viewing low sexual desire as a genuine disease and seeing it as improperly medicalized, we investigate (...)
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  18. Rare diseases in healthcare priority setting: should rarity matter?Andreas Albertsen - 2022 - Journal of Medical Ethics 48 (9):624-628.
    Rare diseases pose a particular priority setting problem. The UK gives rare diseases special priority in healthcare priority setting. Effectively, the National Health Service is willing to pay much more to gain a quality-adjusted life-year related to a very rare disease than one related to a more common condition. But should rare diseases receive priority in the allocation of scarce healthcare resources? This article develops and evaluates four arguments in favour of such a priority. These pertain to public values, (...)
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  19. Forgiving Grave Wrongs.Alisa L. Carse & Lynne Tirrell - 2010 - In Christopher R. Allers & Marieke Smit (eds.), Forgiveness In Perspective. Rodopi Press. pp. 66--43.
    We introduce what we call the Emergent Model of forgiving, which is a process-based relational model conceptualizing forgiving as moral and normative repair in the wake of grave wrongs. In cases of grave wrongs, which shatter the victim’s life, the Classical Model of transactional forgiveness falls short of illuminating how genuine forgiveness can be achieved. In a climate of persistent threat and distrust, expressions of remorse, rituals and gestures of apology, and acts of reparation are unable to secure (...)
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  20. Infectious Disease Ontology.Lindsay Grey Cowell & Barry Smith - 2009 - In Lindsay Grey Cowell & Barry Smith (eds.), Infectious Disease Ontology. New York: Springer New York. pp. 373-395.
    Technological developments have resulted in tremendous increases in the volume and diversity of the data and information that must be processed in the course of biomedical and clinical research and practice. Researchers are at the same time under ever greater pressure to share data and to take steps to ensure that data resources are interoperable. The use of ontologies to annotate data has proven successful in supporting these goals and in providing new possibilities for the automated processing of data and (...)
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  21. Representing disease courses: An application of the Neurological Disease Ontology to Multiple Sclerosis Typology.Mark Jensen, Alexander P. Cox, Barry Smith & Alexander Diehl - 2013 - In Jensen Mark, Cox Alexander P., Diehl Alexander & Smith Barry (eds.), Proceedings of the Fourth International Conference on Biomedical Ontology (ICBO), CEUR 1060.
    The Neurological Disease Ontology (ND) is being developed to provide a comprehensive framework for the representation of neurological diseases (Diehl et al., 2013). ND utilizes the model established by the Ontology for General Medical Science (OGMS) for the representation of entities in medicine and disease (Scheuermann et al., 2009). The goal of ND is to include information for each disease concerning its molecular, genetic, and environmental origins, the processes involved in its etiology and realization, as well as (...)
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  22. Predicting Heart Disease using Neural Networks.Ahmed Muhammad Haider Al-Sharif & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):40-46.
    Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary (...)
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  23. Is pregnancy a disease? A normative approach.Anna Smajdor & Joona Räsänen - forthcoming - Journal of Medical Ethics.
    In this paper, we identify some key features of what makes something a disease, and consider whether these apply to pregnancy. We argue that there are some compelling grounds for regarding pregnancy as a disease. Like a disease, pregnancy affects the health of the pregnant person, causing a range of symptoms from discomfort to death. Like a disease, pregnancy can be treated medically. Like a disease, pregnancy is caused by a pathogen, an external organism invading (...)
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  24. Prediction of Heart Disease Using a Collection of Machine and Deep Learning Algorithms.Ali M. A. Barhoom, Abdelbaset Almasri, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (4):1-13.
    Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed (...)
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  25. Evolution, Dysfunction, and Disease: A Reappraisal.Paul E. Griffiths & John Matthewson - 2018 - British Journal for the Philosophy of Science 69 (2):301-327.
    Some ‘naturalist’ accounts of disease employ a biostatistical account of dysfunction, whilst others use a ‘selected effect’ account. Several recent authors have argued that the biostatistical account offers the best hope for a naturalist account of disease. We show that the selected effect account survives the criticisms levelled by these authors relatively unscathed, and has significant advantages over the BST. Moreover, unlike the BST, it has a strong theoretical rationale and can provide substantive reasons to decide difficult cases. (...)
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  26. Unifying diseases from a genetic point of view: the example of the genetic theory of infectious diseases.Marie Darrason - 2013 - Theoretical Medicine and Bioethics 34 (4):327-344.
    In the contemporary biomedical literature, every disease is considered genetic. This extension of the concept of genetic disease is usually interpreted either in a trivial or genocentrist sense, but it is never taken seriously as the expression of a genetic theory of disease. However, a group of French researchers defend the idea of a genetic theory of infectious diseases. By identifying four common genetic mechanisms (Mendelian predisposition to multiple infections, Mendelian predisposition to one infection, and major gene (...)
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  27. Disease, Normality, and Current Pharmacological Moral Modification.Neil Levy, Thomas Douglas, Guy Kahane, Sylvia Terbeck, Philip J. Cowen, Miles Hewstone & Julian Savulescu - 2014 - Philosophy, Psychiatry, and Psychology 21 (2):135-137.
    Response to commentary. We are grateful to Crockett and Craigie for their interesting remarks on our paper. We accept Crockett’s claim that there is a need for caution in drawing inferences about patient groups from work on healthy volunteers in the laboratory. However, we believe that the evidence we cited established a strong presumption that many of the patients who are routinely taking a medication, including many people properly prescribed the medication for a medical condition, have morally significant aspects of (...)
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  28. Reframing the Disease Debate and Defending the Biostatistical Theory.Peter H. Schwartz - 2014 - Journal of Medicine and Philosophy 39 (6):572-589.
    Similarly to other accounts of disease, Christopher Boorse’s Biostatistical Theory (BST) is generally presented and considered as conceptual analysis, that is, as making claims about the meaning of currently used concepts. But conceptual analysis has been convincingly critiqued as relying on problematic assumptions about the existence, meaning, and use of concepts. Because of these problems, accounts of disease and health should be evaluated not as claims about current meaning, I argue, but instead as proposals about how to define (...)
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  29.  10
    Infectious Disease Ontology.Lindsay Grey Cowell & Barry Smith - 2009 - In Lindsay Grey Cowell & Barry Smith (eds.), Infectious Disease Ontology. New York: Springer New York. pp. 373--395.
    Technological developments have resulted in tremendous increases in the volume and diversity of the data and information that must be processed in the course of biomedical and clinical research and practice. Researchers are at the same time under ever greater pressure to share data and to take steps to ensure that data resources are interoperable. The use of ontologies to annotate data has proven successful in supporting these goals and in providing new possibilities for the automated processing of data and (...)
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  30. Disease-mongering through clinical trials.María González-Moreno, Cristian Saborido & David Teira - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 51:11-18.
    Our goal in this paper is to articulate a precise concept of at least a certain kind of disease-mongering, showing how pharmaceutical marketing can commercially exploit certain diseases when their best definition is given through the success of a treatment in a clinical trial. We distinguish two types of disease-mongering according to the way they exploit the definition of the trial population for marketing purposes. We argue that behind these two forms of disease-mongering there are two well-known (...)
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  31. Is Infertility a Disease and Does It Matter?Hane Htut Maung - 2018 - Bioethics 33 (1):43-53.
    Claims about whether or not infertility is a disease are sometimes invoked to defend or criticize the provision of state-funded treatment for infertility. In this paper, I suggest that this strategy is problematic. By exploring infertility through key approaches to disease in the philosophy of medicine, I show that there are deep theoretical disagreements regarding what subtypes of infertility qualify as diseases. Given that infertility's disease status remains unclear, one cannot uncontroversially justify or undermine its claim to (...)
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  32. Metabolic theories of Whipple disease.Oscar Morice, Mathew Elameer, Mina Arsanious, Helen Stephens, Eleanor Soutter, Thomas Hughes & Brendan Clarke - manuscript
    Whipple disease is a rare, infectious, disease first described from a single case by Whipple in 1907. As well as characterising the clinical and pathological features of the condition, Whipple made two suggestions regarding its aetiology. These were either than the disease was caused by an infectious agent, or that it was of metabolic origin. As the disease is now thought to be caused by infection with the bacterium Tropheryma whipplei, historical reviews of the history of (...)
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  33. Parkinson’s Disease Prediction Using Artificial Neural Network.Ramzi M. Sadek, Salah A. Mohammed, Abdul Rahman K. Abunbehan, Abdul Karim H. Abdul Ghattas, Majed R. Badawi, Mohamed N. Mortaja, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):1-8.
    Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping (...)
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  34. Prediction of Heart Disease Using a Collection of Machine and Deep Learning Algorithms.Ali M. A. Barhoom, Abdelbaset Almasri, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (4):1-13.
    Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed (...)
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  35. The Infectious Disease Ontology in the Age of COVID-19.Shane Babcock, Lindsay G. Cowell, John Beverley & Barry Smith - 2021 - Journal of Biomedical Semantics 12 (13).
    The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health. IDO Core is designed to be a disease and pathogen neutral ontology, covering just those types of entities and relations that are relevant to infectious diseases generally. IDO Core is then extended by a collection of ontology modules focusing on specific diseases and pathogens. In (...)
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  36. Stomach disease ITS.Suheir H. Almurshidi - 2017 - International Journal of Advanced Research and Development 2 (1):26-30.
    This paper aims is to present the design and development of an intelligent tutoring system for teaching students about stomach diseases to help and give them a clear idea about stomach ulcer diseases. Furthermore, the researchers designed an intelligent tutoring system with a clear interface including 3D animation with Delphi that show how the ulcer appears in the stomach with more details about the disease, after that there are some questions researchers going to adopt from clinical books about the (...)
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  37. On the classification of diseases.Benjamin Smart - 2014 - Theoretical Medicine and Bioethics 35 (4):251-269.
    Identifying the necessary and sufficient conditions for individuating and classifying diseases is a matter of great importance in the fields of law, ethics, epidemiology, and of course, medicine. In this paper, I first propose a means of achieving this goal, ensuring that no two distinct disease-types could correctly be ascribed to the same disease-token. I then posit a metaphysical ontology of diseases—that is, I give an account of what a disease is. This is essential to providing the (...)
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  38. Classification of Alzheimer's Disease Using Convolutional Neural Networks.Lamis F. Samhan, Amjad H. Alfarra & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (3):18-23.
    Brain-related diseases are among the most difficult diseases due to their sensitivity, the difficulty of performing operations, and their high costs. In contrast, the operation is not necessary to succeed, as the results of the operation may be unsuccessful. One of the most common diseases that affect the brain is Alzheimer’s disease, which affects adults, a disease that leads to memory loss and forgetting information in varying degrees. According to the condition of each patient. For these reasons, it (...)
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  39. Objections to Robert Graves’s The Greek Myths.Terence Rajivan Edward - manuscript
    This is a two page handout summarizing a number of objections made against Robert Graves's book of Greek myths.
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  40. Coronavirus Disease (COVID-19): Socio-Economic Systems in the Post-Pandemic World: Design Thinking, Strategic Planning, Management, and Public Policy.Andrzej Klimczuk, Eva Berde, Delali A. Dovie, Magdalena Klimczuk-Kochańska & Gabriella Spinelli (eds.) - 2022 - Lausanne: Frontiers Media.
    On 11 March 2020, the World Health Organization declared a pandemic of the COVID-19 coronavirus disease that was first recognized in China in late 2019. Among the primary effects caused by the pandemic, there was the dissemination of health preventive measures such as physical distancing, travel restrictions, self-isolation, quarantines, and facility closures. This includes the global disruption of socio-economic systems including the postponement or cancellation of various public events (e.g., sporting, cultural, or religious), supply shortages and fears of the (...)
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  41. Expert System for Castor Diseases and Diagnosis.Fatima M. Salman & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):1-10.
    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 (...)
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  42. German disease.Andrej Poleev - 2019 - Enzymes.
    Deutsche Krankheit: eine Diagnosestellung mit Rückblick und Ausblick auf Krankheitsverlauf.
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  43. Dispositions and the Infectious Disease Ontology.Albert Goldfain, Barry Smith & Lindsay Cowell - 2010 - In Albert Goldfain, Barry Smith & Lindsay Cowell (eds.), Dispositions and the Infectious Disease Ontology. IOS Press. pp. 400-413.
    This paper addresses the use of dispositions in the Infectious Disease Ontology (IDO). IDO is an ontology constructed according to the principles of the Open Biomedical Ontology (OBO) Foundry and uses the Basic Formal Ontology (BFO) as an upper ontology. After providing a brief introduction to disposition types in BFO and IDO, we discuss three general techniques for representing combinations of dispositions under the headings blocking dispositions, complementary dispositions, and collective dispositions. Motivating examples for each combination of dispositions is (...)
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  44.  89
    Classification of Chicken Diseases Using Deep Learning.Mohammed Al Qatrawi & Samy S. Abu-Naser - 2024 - Information Journal of Academic Information Systems Research (Ijaisr) 8 (4):9-17.
    Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...)
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  45. Diseases, patients and the epistemology of practice: mapping the borders of health, medicine and care.Michael Loughlin, Robyn Bluhm, Jonathan Fuller, Stephen Buetow, Benjamin R. Lewis & Brent M. Kious - 2015 - Journal of Evaluation in Clinical Practice 21 (3):357-364.
    Last year saw the 20th anniversary edition of JECP, and in the introduction to the philosophy section of that landmark edition, we posed the question: apart from ethics, what is the role of philosophy ‘at the bedside’? The purpose of this question was not to downplay the significance of ethics to clinical practice. Rather, we raised it as part of a broader argument to the effect that ethical questions – about what we should do in any given situation – are (...)
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  46.  81
    Classification of Apple Diseases Using Deep Learning.Ola I. A. Lafi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):1-9.
    Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle which (...)
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  47. Crossing the Fictional Line: Moral Graveness, the Gamer’s Dilemma, and the Paradox of Fictionally Going Too Far.Thomas Montefiore & Paul Formosa - 2023 - Philosophy and Technology 36 (3):1-21.
    The Gamer’s Dilemma refers to the philosophical challenge of justifying the intuitive difference people seem to see between the moral permissibility of enacting virtual murder and the moral impermissibility of enacting virtual child molestation in video games (Luck Ethics and Information Technology, 1:31, 2009). Recently, Luck in Philosophia, 50:1287–1308, 2022 has argued that the Gamer’s Dilemma is actually an instance of a more general “paradox”, which he calls the “paradox of treating wrongdoing lightly”, and he proposes a graveness resolution to (...)
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  48. Editorial: Coronavirus Disease (COVID-19): Socio-Economic Systems in the Post-Pandemic World: Design Thinking, Strategic Planning, Management, and Public Policy.Andrzej Klimczuk, Eva Berde, Delali Dovie, Magdalena Klimczuk-Kochańska & Gabriella Spinelli - 2022 - Frontiers in Communication 7:1–5.
    The declaration of the COVID-19 pandemic by the World Health Organization on March 11, 2020, led to unprecedented events. All regions of the world participated in implementing preventive health measures such as physical distancing, travel restrictions, self-isolation, quarantines, and facility closures. The pandemic started global disruption of socio-economic systems, covering the postponement or cancellation of public events, supply shortages, schools and universities’ closure, evacuation of foreign citizens, a rise in unemployment and inflation, misinformation, the anti-vaccine movement, and incidents of discrimination (...)
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  49. Disease: An Ill-Founded Concept at Odds with the Principle of Patient-Centred Medicine.Arandjelovic Ognjen - forthcoming - Journal of Evaluation in Clinical Practice.
    Background: Despite the at least decades long record of philosophical recognition and interest, the intricacy of the deceptively familiar appearing concepts of ‘disease’, ‘disorder’, ‘disability’, etc., has only recently begun showing itself with clarity in the popular discourse wherein its newly emerging prominence stems from the liberties and restrictions contingent upon it. Whether a person is deemed to be afflicted by a disease or a disorder governs their ability to access health care, be it free at the point (...)
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  50. Disease Identification using Machine Learning and NLP.S. Akila - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):78-92.
    Artificial Intelligence (AI) technologies are now widely used in a variety of fields to aid with knowledge acquisition and decision-making. Health information systems, in particular, can gain the most from AI advantages. Recently, symptoms-based illness prediction research and manufacturing have grown in popularity in the healthcare business. Several scholars and organisations have expressed an interest in applying contemporary computational tools to analyse and create novel approaches for rapidly and accurately predicting illnesses. In this study, we present a paradigm for assessing (...)
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