Results for 'iatrogenic disease'

572 found
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  1. Ivan Illich’s Medical Nemesis and the ‘Age of the Show’: On the Expropriation of Death.Babette Babich - 2018 - Nursing Philosophy 19 (1):e12187.
    What Ivan Illich regarded in his Medical Nemesis as the ‘expropriation of health’ takes place on the surfaces and in the spaces of the screens all around us, including our cell phones but also the patient monitors and (increasingly) the iPads that intervene between nurse and patient. To explore what Illich called the ‘age of the show’, this essay uses film examples, like Creed and the controversial documentary Vaxxed, and the television series Nurse Jackie. Rocky’s cancer in his last film (...)
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  2. Infectious Disease Ontology.Lindsay Grey Cowell & Barry Smith - 2009 - In Infectious Disease Informatics. 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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  3. 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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  4. 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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  5. German Disease.Andrej Poleev - 2019
    Deutsche Krankheit: eine Diagnosestellung mit Rückblick und Ausblick auf Krankheitsverlauf.
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  6. 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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  7.  68
    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.
    Why scientists reach an agreement on new experimental methods when there are conflicts of interest about the evidence they yield? I argue that debiasing methods play a crucial role in this consensus, providing a warrant about the impartiality of the outcome regarding the preferences of different parties involved in the experiment. From a contractarian perspective, I contend that an epistemic pre-requisite for scientists to agree on an experimental method is that this latter is neutral regarding their competing interests. I present (...)
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  8. 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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  9. Risk and Disease.Peter H. Schwartz - 2008 - Perspectives in Biology and Medicine 51 (3):320-334.
    The way that diseases such as high blood pressure (hypertension), high cholesterol, and diabetes are defined is closely tied to ideas about modifiable risk. In particular, the threshold for diagnosing each of these conditions is set at the level where future risk of disease can be reduced by lowering the relevant parameter (of blood pressure, low-density lipoprotein, or blood glucose, respectively). In this article, I make the case that these criteria, and those for diagnosing and treating other “risk-based diseases,” (...)
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  10. 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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  11. 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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  12. 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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  13. 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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  14.  89
    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 Proceedings of the Fourth International Conference on Biomedical Ontology (ICBO), CEUR, vol. 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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  15. 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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  16. Psychological Disease and Action-Guiding Impressions in Early Stoicism.Simon Shogry - 2021 - British Journal for the History of Philosophy 29 (5):784-805.
    The early Stoics diagnose vicious agents with various psychological diseases, e.g. love of money and love of wine. Such diseases are characterized as false evaluative opinions that lead the agent to form emotional impulses for certain objects, e.g. money and wine. Scholars have therefore analyzed psychological diseases simply as dispositions for assent. This interpretation is incomplete, I argue, and should be augmented with the claim that psychological disease also affects what kind of action-guiding impressions are created prior to giving (...)
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  17.  51
    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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  18.  16
    2019 Novel Coronavirus Disease, Crisis, and Isolation.Dev Roychowdhury - 2020 - Frontiers in Psychology 11.
    The highly contagious 2019 novel coronavirus disease (COVID-19) outbreak has not only impacted health systems, economies, and governments, it has also rapidly grown into a global health crisis, which is now threatening the lives of millions of people globally. While, on one hand, medical institutions are critically attempting to find a cure, on the other hand, governments have introduced striking measures and policies to curtail the rapid spread of the disease. Although COVID-19 has achieved pandemic status and is (...)
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  19.  91
    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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  20. 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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  21. Causal Classification of Diseases.Andrej Poleev - 2020
    „Errors are the greatest obstacles to the progress of science; to correct such errors is of more practical value than to achieve new knowledge,“ asserted Eugen Bleuler. Basic error of several prevailing classification schemes of pathological conditions, as for example ICD-10, lies in confusing and mixing symptoms with diseases, what makes them unscientific. Considering the need to bring order into the chaos and light into terminological obscureness, I introduce the Causal classification of diseases originating from the notion of bodily wholeness (...)
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  22. Dispositions and the Infectious Disease Ontology.Albert Goldfain, Barry Smith & Lindsay Cowell - 2010 - In Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS). 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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  23. Retina Diseases Diagnosis Using Deep Learning.Abeer Abed ElKareem Fawzi Elsharif & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):11-37.
    There are many eye diseases but the most two common retinal diseases are Age-Related Macular Degeneration (AMD), which the sharp, central vision and a leading cause of vision loss among people age 50 and older, there are two types of AMD are wet AMD and DRUSEN. Diabetic Macular Edema (DME), which is a complication of diabetes caused by fluid accumulation in the macula that can affect the fovea. If it is left untreated it may cause vision loss. Therefore, early detection (...)
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  24. 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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  25.  32
    Rule Based System for Diagnosing Bean Diseases and Treatment.Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Mustafa M. K. Al-Ghoul, Sami M. Okasha & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (5):67-74.
    Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...)
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  26.  79
    Knowledge Based System for Diagnosing Custard Apple Diseases and Treatment.Mustafa M. K. Al-Ghoul, Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Samir Okasha & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):41-45.
    There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly (...)
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  27. Knowledge Based System for the Diagnosis of Dengue Disease.Aysha I. Mansour & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):12-19.
    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 (...)
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  28. Wherein is the Concept of Disease Normative? From Weak Normativity to Value-Conscious Naturalism.M. Cristina Amoretti & Elisabetta Lalumera - 2021 - Medicine, Health Care and Philosophy 25 (1):1-14.
    In this paper we focus on some new normativist positions and compare them with traditional ones. In so doing, we claim that if normative judgments are involved in determining whether a condition is a disease only in the sense identified by new normativisms, then disease is normative only in a weak sense, which must be distinguished from the strong sense advocated by traditional normativisms. Specifically, we argue that weak and strong normativity are different to the point that one (...)
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  29. An Expert System for Arthritis Diseases Diagnosis Using SL5 Object.Hosni Qasim El-Mashharawi, Izzeddin A. Alshawwa, Mohammed Elkahlout & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):28-35.
    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 (...)
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  30. Defining Neglected Disease.Alex Broadbent - 2011 - Biosocieties 6 (1):51-70.
    In this article I seek to say what it is for something to count as a neglected disease. I argue that neglect should be defined in terms of efforts at prevention, mitigation and cure, and not solely in terms of research dollars per disability-adjusted life-year. I further argue that the trend towards multifactorialism and risk factor thinking in modern epidemiology has lent credibility to the erroneous view that the primary problem with neglected diseases is a lack of research. A (...)
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  31. The Neurological Disease Ontology.Mark Jensen, Alexander P. Cox, Naveed Chaudhry, Marcus Ng, Donat Sule, William Duncan, Patrick Ray, Bianca Weinstock-Guttman, Barry Smith, Alan Ruttenberg, Kinga Szigeti & Alexander D. Diehl - 2013 - Journal of Biomedical Semantics 4 (42):42.
    We are developing the Neurological Disease Ontology (ND) to provide a framework to enable representation of aspects of neurological diseases that are relevant to their treatment and study. ND is a representational tool that addresses the need for unambiguous annotation, storage, and retrieval of data associated with the treatment and study of neurological diseases. ND is being developed in compliance with the Open Biomedical Ontology Foundry principles and builds upon the paradigm established by the Ontology for General Medical Science (...)
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  32. Toward an Ontological Treatment of Disease and Diagnosis.Richard H. Scheuermann, Werner Ceusters & Barry Smith - 2009 - In Proceedings of the 2009 AMIA Summit on Translational Bioinformatics. American Medical Informatics Association.
    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 (...)
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  33. Impartiality and Infectious Disease: Prioritizing Individuals Versus the Collective in Antibiotic Prescription.Bernadine Dao, Thomas Douglas, Alberto Giubilini, Julian Savulescu, Michael Selgelid & Nadira S. Faber - 2019 - AJOB Empirical Bioethics 10 (1):63-69.
    Antimicrobial resistance (AMR) is a global public health disaster driven largely by antibiotic use in human health care. Doctors considering whether to prescribe antibiotics face an ethical conflict between upholding individual patient health and advancing public health aims. Existing literature mainly examines whether patients awaiting consultations desire or expect to receive antibiotic prescriptions, but does not report views of the wider public regarding conditions under which doctors should prescribe antibiotics. It also does not explore the ethical significance of public views (...)
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  34. 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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  35. Autism and ‘Disease’: The Semantics of an Ill-Posed Question.Christopher Mole - 2017 - Philosophical Psychology 30 (8):1126-1140.
    It often seems incorrect to say that psychiatric conditions are diseases, and equally incorrect to say that they are not. This results in what would seem to be an unsatisfactory stalemate. The present essay examines the considerations that have brought us to such a stalemate in our discussions of autism. It argues that the stalemate in this particular case is a reflection of the fact that we need to find the logical space for a position that rejects both positive and (...)
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  36.  66
    Portraying Addiction as a Disease: A Phenomenological Answer.Ion Copoeru - 2018 - Journal of Evaluation in Clinical Practice 24 (5):1101-1106.
    This paper stems from the concern that, in certain situations, categorization may lead to the annihilation of the subject. It attempts to answer the question whether there is a way of framing addiction without necessarily putting the addicted persons in categories that hurt them. After showing, in the first section, how stigma is part of the process of becoming (and remaining) addicted, I will turn to the phenomenological tradition in order to re-consider the main descriptive categories that have been used (...)
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  37. Universal Etiology, Multifactorial Diseases and the Constitutive Model of Disease Classification.Jonathan Fuller - 2018 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 67:8-15.
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  38. Why Naming Disease Differs From Naming Illness.Marvin J. H. Lee - 2018 - AMA Journal of Ethics 20 (12):E1195-1200.
    Addressing the question of how medicine should engage with people who consider their clinical disease condition to be importantly constitutive of their identity, this article focuses on one group—advocates for the fat acceptance (FA) or body positivity movement in American society. Drawing on philosophical analysis, I try to show that FA and physician communities represent different traditions within the larger culture and that whether obesity should be considered a disease is a culture battle. I argue that diseases (medical) (...)
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  39. A Plant Disease Extension of the Infectious Disease Ontology.Ramona Walls, Barry Smith, Elser Justin, Goldfain Albert & W. Stevenson Dennis - 2012 - In Proceedings of the Third International Conference on Biomedical Ontology (CEUR 897). pp. 1-5.
    Plants from a handful of species provide the primary source of food for all people, yet this source is vulnerable to multiple stressors, such as disease, drought, and nutrient deficiency. With rapid population growth and climate uncertainty, the need to produce crops that can tolerate or resist plant stressors is more crucial than ever. Traditional plant breeding methods may not be sufficient to overcome this challenge, and methods such as highOthroughput sequencing and automated scoring of phenotypes can provide significant (...)
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  40. Emerging Zoonotic Diseases: Should We Rethink the Animal–Human Interface?Ioannis Magouras, Victoria J. Brookes, Ferran Jori, Angela K. Martin, Dirk Udo Pfeiffer & Salome Dürr - 2020 - Frontiers in Veterinary Science 582743 (7).
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  41.  35
    A Proposed Expert System for Broccoli Diseases Diagnosis.Ola I. A. LAfi, Hadeel A. El-Hamarnah, Nora J. H. Al-Saloul, Hanan I. A. Radwan & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (5):43-51.
    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 (...)
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  42. Representing Mental Functioning: Ontologies for Mental Health and Disease.Janna Hastings, Werner Ceusters, Mark Jensen, Kevin Mulligan & Barry Smith - 2012 - In Towards an Ontology of Mental Functioning (ICBO Workshop), Proceeedings of the Third International Conference on Biomedical Ontology.
    Mental and behavioral disorders represent a significant portion of the public health burden in all countries. The human cost of these disorders is immense, yet treatment options for sufferers are currently limited, with many patients failing to respond sufficiently to available interventions and drugs. High quality ontologies facilitate data aggregation and comparison across different disciplines, and may therefore speed up the translation of primary research into novel therapeutics. Realism-based ontologies describe entities in reality and the relationships between them in such (...)
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  43.  19
    Risk of Disease and Willingness to Vaccinate in the United State: A Population-Based Survey.Bert Baumgaertner, Benjamin J. Ridenhour, Florian Justwan, Juliet E. Carlisle & Craig R. Miller - 2020 - Plos Medicine 10 (17).
    Vaccination complacency occurs when perceived risks of vaccine-preventable diseases are sufficiently low so that vaccination is no longer perceived as a necessary precaution. Disease outbreaks can once again increase perceptions of risk, thereby decrease vaccine complacency, and in turn decrease vaccine hesitancy. It is not well understood, however, how change in perceived risk translates into change in vaccine hesitancy. -/- We advance the concept of vaccine propensity, which relates a change in willingness to vaccinate with a change in perceived (...)
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  44. Diseases of the Head: Essays on the Horrors of Speculative Philosophy.Matt Rosen (ed.) - 2020 - New York, NY, USA: Punctum Books.
    This is a collection of essays from contemporary philosophers, artists, and writers on the intersection of speculative philosophy and speculative horror fiction. The book contains fourteen essays and an introduction. I edited the book and wrote the introduction. Topics considered include human extinction; anonymity, otherness, and alienation; whether horror is a genre; and the relationship between speculation and Kant’s critical philosophy.
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  45. Small Tumors as Risk Factors Not Disease.Peter H. Schwartz - 2014 - Philosophy of Science 81 (5):986-998.
    I argue that ductal carcinoma in situ (DCIS), the tumor most commonly diagnosed by breast mammography, cannot be confidently classified as cancer, that is, as pathological. This is because there may not be dysfunction present in DCIS—as I argue based on its high prevalence and the small amount of risk it conveys—and thus DCIS may not count as a disease by dysfunction-requiring approaches, such as Boorse’s biostatistical theory and Wakefield’s harmful dysfunction account. Patients should decide about treatment for DCIS (...)
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  46. Decision and Discovery in Defining “Disease”.Peter H. Schwartz - 2007 - In Harold Kincaid & Jennifer McKitrick (eds.), Establishing medical reality: Methodological and metaphysical issues in philosophy of medicine. Dordrecht: Springer. pp. 47-63.
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  47. Prevention of Disease and the Absent Body: A Phenomenological Approach to Periodontitis.Dylan Rakhra & Māra Grīnfelde - forthcoming - Journal of Medicine and Philosophy.
    A large part of contemporary phenomenology of medicine has been devoted to accounts of health and illness, arguing that they contribute to the improvement of healthcare. Less focus has been paid to the issue of prevention of disease and the associated difficulty of adhering to health-promoting behaviours, which is arguably of equal importance. This article offers a phenomenological account of this disease prevention, focusing on how we – as embodied beings – engage with health-promoting behaviours. It specifically considers (...)
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  48. CIDO, a Community-Based Ontology for Coronavirus Disease Knowledge and Data Integration, Sharing, and Analysis.Oliver He, John Beverley, Gilbert S. Omenn, Barry Smith, Brian Athey, Luonan Chen, Xiaolin Yang, Junguk Hur, Hsin-hui Huang, Anthony Huffman, Yingtong Liu, Yang Wang, Edison Ong & Hong Yu - 2020 - Scientific Data 181 (7):5.
    Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, (...)
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  49.  89
    Experimental Philosophy of Medicine and the Concepts of Health and Disease.Walter Veit - 2020 - Theoretical Medicine and Bioethics:1-18.
    If one had to identify the biggest change within the philosophical tradition in the twenty-first century, it would certainly be the rapid rise of experimental philosophy to address differences in intuitions about concepts. It is, therefore, surprising that the philosophy of medicine has so far not drawn on the tools of experimental philosophy in the context of a particular conceptual debate that has overshadowed all others in the field: the long-standing dispute between so-called naturalists and normativists about the concepts of (...)
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  50. "We Are the Disease": Truth, Health, and Politics From Plato's Gorgias to Foucault.C. T. Ricciardone - 2014 - Epoché: A Journal for the History of Philosophy 18 (2):287-310.
    Starting from the importance of the figure of the parrhesiastes — the political and therapeutic truth- teller— for Foucault’s understanding of the care of the self, this paper traces the political figuration of the analogy between philosophers and physicians on the one hand, and rhetors and disease on the other in Plato’s Gorgias. I show how rhetoric, in the form of ventriloquism, infects the text itself, and then ask how we account for the effect of the “ contaminated ” (...)
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