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  1. Conceptual Engineering of Medical Concepts.Elisabetta Lalumera - forthcoming - In Manuel Gustavo Isaac, Kevin Scharp & Steffen Koch (eds.), New Perspectives on Conceptual Engineering. Synthese Library.
    There is a lot of conceptual engineering going on in medical research. I substantiate this claim with two examples, the medical debate about cancer classification and about obesity as a disease I also argue that the proper target of conceptual engineering in medical research are experts’ conceptions. These are explicitly written down in documents and guidelines, and they bear on research and policies. In the second part of the chapter, I propose an externalist framework in which conceptions have both the (...)
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  2. Crossing the Threshold: An Epigenetic Alternative to Dimensional Accounts of Mental Disorders.Davide Serpico & Valentina Petrolini - forthcoming - British Journal for the Philosophy of Science.
    Recent trends in psychiatry involve a transition from categorical to dimensional frameworks, in which the boundary between health and pathology is understood as a difference in degree rather than as a difference in kind. A major tenet of dimensional approaches is that no qualitative distinction can be made between health and pathology. As a consequence, these approaches tend to characterize such a threshold as pragmatic or conventional in nature. However, dimensional approaches to psychopathology raise several epistemological and ontological issues. First, (...)
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  3. Using Deep Learning to Classify Eight Tea Leaf Diseases.Mai R. Ibaid & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):89-96.
    Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on and (...)
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  4. The New Hysteria: Borderline Personality Disorder and Epistemic Injustice.Natalie Dorfman & Joel Michael Reynolds - 2023 - International Journal of Feminist Approaches to Bioethics 16 (2):162-181.
    The diagnostic category of borderline personality disorder (BPD) has come under increasing criticism in recent years. In this paper, we analyze the role and impact of epistemic injustice, specifically testimonial injustice, in relation to the diagnosis of BPD. We first offer a critical sociological and historical account, detailing and expanding a range of arguments that BPD is problematic nosologically. We then turn to explore the epistemic injustices that can result from a BPD diagnosis, showing how they can lead to experiences (...)
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  5. The Essentialism of Early Modern Psychiatric Nosology.Hein van den Berg - 2023 - History and Philosophy of the Life Sciences 45 (2):1-25.
    Are psychiatric disorders natural kinds? This question has received a lot of attention within present-day philosophy of psychiatry, where many authors debate the ontology and nature of mental disorders. Similarly, historians of psychiatry, dating back to Foucault, have debated whether psychiatric researchers conceived of mental disorders as natural kinds or not. However, historians of psychiatry have paid little to no attention to the influence of (a) theories within logic, and (b) theories within metaphysics on psychiatric accounts of proper method, and (...)
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  6. Classification of Anomalies in Gastrointestinal Tract Using Deep Learning.Ibtesam M. Dheir & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):15-28.
    Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...)
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  7. Reactive Natural Kinds and Varieties of Dependence.Harriet Fagerberg - 2022 - European Journal for Philosophy of Science 12 (4):1-27.
    This paper asks when a natural disease kind is truly 'reactive' and when it is merely associated with a corresponding social kind. I begin with a permissive account of real kinds and their structure, distinguishing natural kinds, indifferent kinds and reactive kinds as varieties of real kind characterised by super-explanatory properties. I then situate disease kinds within this framework, arguing that many disease kinds prima facie are both natural and reactive. I proceed to distinguish ‘simple dependence’, ‘secondary dependence’ and ‘essential (...)
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  8. Pathological Withdrawal Syndrome: A New Kind of Depression?Katelynn V. Healy - 2022 - Inquiries Journal.
    Marion Godman makes the argument that Pathological Withdrawal Syndrome (PWS) makes the case for psychiatric disorders as a natural kind. Godman argues that we can classify kinds according to their shared ‘grounding’, but we need not know what the grounding is to know that the natural is a natural kind. However, I argue that Godman erroneously classifies PWS as its own natural kind when it is in fact a variant of depression, which is its own natural kind. Cooper highlights culture-bound (...)
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  9. 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 is important (...)
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  10. The DSM-5 introduction of the Social (Pragmatic) Communication Disorder as a new mental disorder: a philosophical review.M. Cristina Amoretti, Elisabetta Lalumera & Davide Serpico - 2021 - History and Philosophy of the Life Sciences 43 (4):1-31.
    The latest edition of the Diagnostic and Statistical Manual of Mental Disorders included the Social Communication Disorder as a new mental disorder characterized by deficits in pragmatic abilities. Although the introduction of SPCD in the psychiatry nosography depended on a variety of reasons—including bridging a nosological gap in the macro-category of Communication Disorders—in the last few years researchers have identified major issues in such revision. For instance, the symptomatology of SPCD is notably close to that of Autism Spectrum Disorder. This (...)
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  11. Causal classification of diseases.Andrej Poleev - 2020 - Enzymes.
    „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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  12. Phenomenology and Dimensional Approaches to Psychiatric Research and Classification.Anthony Vincent Fernandez - 2019 - Philosophy, Psychiatry, and Psychology 26 (1):65-75.
    Contemporary psychiatry finds itself in the midst of a crisis of classification. The developments begun in the 1980s—with the third edition of the Diagnostic and Statistical Manual of Mental Disorders —successfully increased inter-rater reliability. However, these developments have done little to increase the predictive validity of our categories of disorder. A diagnosis based on DSM categories and criteria often fails to accurately anticipate course of illness or treatment response. In addition, there is little evidence that the DSM categories link up (...)
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  13. The absent body in psychiatric diagnosis, treatment, and research.Catherine Stinson - 2019 - Synthese 196 (6).
    Discussions of psychiatric nosology focus on a few popular examples of disorders, and on the validity of diagnostic criteria. Looking at Anorexia Nervosa, an example rarely mentioned in this literature, reveals a new problem: the DSM has a strict taxonomic structure, which assumes that disorders can only be located on one branch. This taxonomic assumption fails to fit the domain of psychopathology, resulting in obfuscation of cross-category connections. Poor outcomes for treatment of Anorexia may be due to it being pigeonholed (...)
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  14. Phenomenological Psychopathology and Psychiatric Classification.Anthony Vincent Fernandez - 2018 - In Giovanni Stanghellini, Matthew Broome, Anthony Vincent Fernandez, Paolo Fusar-Poli, Andrea Raballo & René Rosfort (eds.), The Oxford Handbook of Phenomenological Psychopathology. Oxford: Oxford University Press. pp. 1016-1030.
    In this chapter, I provide an overview of phenomenological approaches to psychiatric classification. My aim is to encourage and facilitate philosophical debate over the best ways to classify psychiatric disorders. First, I articulate phenomenological critiques of the dominant approach to classification and diagnosis—i.e., the operational approach employed in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the International Classification of Diseases (ICD-10). Second, I describe the type or typification approach to psychiatric classification, which I distinguish into three different (...)
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  15. 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.
    In this article, I will reconstruct the monocausal model and argue that modern 'multifactorial diseases' are not monocausal by definition. 'Multifactorial diseases' are instead defined according to a constitutive disease model. On closer analysis, infectious diseases are also defined using the constitutive model rather than the monocausal model. As a result, our classification models alone cannot explain why infectious diseases have a universal etiology while chronic and noncommunicable diseases lack one. The explanation is instead provided by the nineteenth-century germ theorists.
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  16. Ontologies, Disorders and Prototypes.Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo - 2016 - In Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo (eds.), Proceedings of IACAP 2016.
    As it emerged from philosophical analyses and cognitive research, most concepts exhibit typicality effects, and resist to the efforts of defining them in terms of necessary and sufficient conditions. This holds also in the case of many medical concepts. This is a problem for the design of computer science ontologies, since knowledge representation formalisms commonly adopted in this field (such as, in the first place, the Web Ontology Language - OWL) do not allow for the representation of concepts in terms (...)
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  17. Saving the DSM-5? Descriptive conceptions and theoretical concepts of mental disorders. MEDICINA & STORIA, 109-128.Elisabetta Lalumera - 2016 - Medicina E Storia 2 (9-10):109-129.
    Abstract: At present, psychiatric disorders are characterized descriptively, as the standard within the scientific community for communication and, to a cer- tain extent, for diagnosis, is the DSM, now at its fifth edition. The main rea- sons for descriptivism are the aim of achieving reliability of diagnosis and improving communication in a situation of theoretical disagreement, and the Ignorance argument, which starts with acknowledgment of the relative fail- ure of the project of finding biomarkers for most mental disorders. Descrip- tivism (...)
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  18. Saving the DSM-5? Descriptive conceptions and theoretical concepts of mental disorders.Elisabetta Lalumera - 2016 - Medicina E Storia 9.
    At present, psychiatric disorders are characterized descriptively, as the standard within the scientific community for communication and, to a certain extent, for diagnosis, is the DSM, now at its fifth edition. The main reasons for descriptivism are the aim of achieving reliability of diagnosis and improving communication in a situation of theoretical disagreement, and the Ignorance argument, which starts with acknowledgment of the relative failure of the project of finding biomarkers for most mental disorders. Descriptivism has also the advantage of (...)
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  19. Classifying Psychopathology: Mental Kinds and Natural Kinds.Harold Kincaid & Jacqueline Anne Sullivan - 2014 - In Harold Kincaid & Jacqueline Anne Sullivan (eds.), Classifying Psychopathology: Mental Kinds and Natural Kinds. MIT Press. pp. 1-10.
    In this volume, leading philosophers of psychiatry examine psychiatric classification systems, including the Diagnostic and Statistical Manual of Mental Disorders, asking whether current systems are sufficient for effective diagnosis, treatment, and research. Doing so, they take up the question of whether mental disorders are natural kinds, grounded in something in the outside world. Psychiatric categories based on natural kinds should group phenomena in such a way that they are subject to the same type of causal explanations and respond similarly to (...)
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  20. A Note on the Dynamics of Psychiatric Classification.José Eduardo Porcher - 2014 - Minerva - An Internet Journal of Philosophy 18 (1):27-47.
    The question of how psychiatric classifications are made up and to what they refer has attracted the attention of philosophers in recent years. In this paper, I review the claims of authors who discuss psychiatric classification in terms referring both to the philosophical tradition of natural kinds and to the sociological tradition of social constructionism — especially those of Ian Hacking and his critics. I examine both the ontological and the social aspects of what it means for something to be (...)
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  21. 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 most effective means (...)
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  22. 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 its clinical presentation (...)
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  23. Constructing a lattice of Infectious Disease Ontologies from a Staphylococcus aureus isolate repository.Albert Goldfain, Lindsay G. Cowell & Barry Smith - 2012 - In Goldfain Albert, Cowell Lindsay G. & Smith Barry (eds.), Proceeedings of the Third International Conference on Biomedical Ontology (CEUR 897).
    A repository of clinically associated Staphylococcus aureus (Sa) isolates is used to semi‐automatically generate a set of application ontologies for specific subfamilies of Sa‐related disease. Each such application ontology is compatible with the Infectious Disease Ontology (IDO) and uses resources from the Open Biomedical Ontology (OBO) Foundry. The set of application ontologies forms a lattice structure beneath the IDO‐Core and IDO‐extension reference ontologies. We show how this lattice can be used to define a strategy for the construction of a new (...)
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  24. Psychiatric classification and diagnosis. Delusions and confabulations.Lisa Bortolotti - 2011 - Paradigmi (1):99-112.
    In psychiatry some disorders of cognition are distinguished from instances of normal cognitive functioning and from other disorders in virtue of their surface features rather than in virtue of the underlying mechanisms responsible for their occurrence. Aetiological considerations often cannot play a significant classificatory and diagnostic role, because there is no sufficient knowledge or consensus about the causal history of many psychiatric disorders. Moreover, it is not always possible to uniquely identify a pathological behaviour as the symptom of a certain (...)
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  25. Foundations for a Realist Ontology of Mental Disease.Werner Ceusters & Barry Smith - 2010 - Journal of Biomedical Semantics 1 (10):1-23.
    While classifications of mental disorders have existed for over one hundred years, it still remains unspecified what terms such as 'mental disorder', 'disease' and 'illness' might actually denote. While ontologies have been called in aid to address this shortfall since the GALEN project of the early 1990s, most attempts thus far have sought to provide a formal description of the structure of some pre-existing terminology or classification, rather than of the corresponding structures and processes on the side of the patient. (...)
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  26. (1 other version)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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