Results for 'psychiatric classification'

569 found
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  1. Phenomenological Psychopathology and Psychiatric Classification.Anthony Vincent Fernandez - 2019 - In Giovanni Stanghellini, Matthew Broome, Anthony Vincent Fernandez, Paolo Fusar-Poli, Andrea Raballo & René Rosfort (eds.), The Oxford Handbook of Phenomenological Psychopathology. Oxford, UK: 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 (...), which I distinguish into three different versions: ideal types, essential types, and prototypes. I argue that despite their occasional conflation in the contemporary literature, there are important distinctions among these approaches. Third, I outline a new phenomenological-dimensional approach. I show how this approach, which starts from basic dimensions of human existence, allows us to investigate the full range of psychopathological conditions without accepting the validity of current diagnostic categories. (shrink)
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  2. 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 (...)
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  3.  87
    Philosophy of Science, Psychiatric Classification, and the DSM.Jonathan Y. Tsou - 2019 - In Şerife Tekin & Robyn Bluhm (eds.), The Bloomsbury Companion to Philosophy of Psychiatry. London: Bloomsbury. pp. 177-196.
    This chapter examines philosophical issues surrounding the classification of mental disorders by the Diagnostic and Statistical Manual of Mental Disorders (DSM). In particular, the chapter focuses on issues concerning the relative merits of descriptive versus theoretical approaches to psychiatric classification and whether the DSM should classify natural kinds. These issues are presented with reference to the history of the DSM, which has been published regularly by the American Psychiatric Association since 1952 and is currently in its (...)
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  4. Natural Kinds, Psychiatric Classification and the History of the DSM.Jonathan Y. Tsou - 2016 - History of Psychiatry 27 (4):406-424.
    This paper addresses philosophical issues concerning whether mental disorders are natural kinds and how the DSM should classify mental disorders. I argue that some mental disorders (e.g., schizophrenia, depression) are natural kinds in the sense that they are natural classes constituted by a set of stable biological mechanisms. I subsequently argue that a theoretical and causal approach to classification would provide a superior method for classifying natural kinds than the purely descriptive approach adopted by the DSM since DSM-III. My (...)
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  5. DSM-5 and Psychiatry's Second Revolution: Descriptive Vs. Theoretical Approaches to Psychiatric Classification.Jonathan Y. Tsou - 2015 - In Steeves Demazeux & Patrick Singy (eds.), The DSM-5 in Perspective: Philosophical Reflections on the Psychiatric Babel. Springer. pp. 43-62.
    A large part of the controversy surrounding the publication of DSM-5 stems from the possibility of replacing the purely descriptive approach to classification favored by the DSM since 1980. This paper examines the question of how mental disorders should be classified, focusing on the issue of whether the DSM should adopt a purely descriptive or theoretical approach. I argue that the DSM should replace its purely descriptive approach with a theoretical approach that integrates causal information into the DSM’s descriptive (...)
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  6. The Importance of History for Philosophy of Psychiatry: The Case of the DSM and Psychiatric Classification.Jonathan Y. Tsou - 2011 - Journal of the Philosophy of History 5 (3):446-470.
    Abstract Recently, some philosophers of psychiatry (viz., Rachel Cooper and Dominic Murphy) have analyzed the issue of psychiatric classification. This paper expands upon these analyses and seeks to demonstrate that a consideration of the history of the Diagnostic and Statistical Manual of Mental Disorders (DSM) can provide a rich and informative philosophical perspective for critically examining the issue of psychiatric classification. This case is intended to demonstrate the importance of history for philosophy of psychiatry, and more (...)
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  7. The Mechanistic Approach to Psychiatric Classification.Elisabetta Sirgiovanni - 2009 - Dialogues in Philosophy, Mental and Neuro Sciences 2 (2):45-49.
    A Kuhnian reformulation of the recent debate in psychiatric nosography suggested that the current psychiatric classification system (the DSM) is in crisis and that a sort of paradigm shift is awaited (Aragona, 2009). Among possible revolutionary alternatives, the proposed fi ve-axes etiopathogenetic taxonomy (Charney et al., 2002) emphasizes the primacy of the genotype over the phenomenological level as the relevant basis for psychiatric nosography. Such a position is along the lines of the micro-reductionist perspective of E. (...)
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  8. 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 (...)
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  9. 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 (...)
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  10. Taking the Long View: An Emerging Framework for Translational Psychiatric Science.Bill Fulford, Lisa Bortolotti & Matthew Broome - 2014 - World Psychiatry 13 (2):110-117.
    Understood in their historical context, current debates about psychiatric classification, prompted by the publication of the DSM-5, open up new opportunities for improved translational research in psychiatry. In this paper, we draw lessons for translational research from three time slices of 20th century psychiatry. From the first time slice, 1913 and the publication of Jaspers’ General Psychopathology, the lesson is that translational research in psychiatry requires a pluralistic approach encompassing equally the sciences of mind (including the social sciences) (...)
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  11. 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 (...)
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  12. How Interested in Classification Are British and American Psychiatrists and How Have They Chosen to Study It Over the Last 50 Years?Mark Griffiths - 2013 - Dialogues in Philosophy, Mental and Neuro Sciences 6 (1):23-33.
    Aims and Methods: The general conceptual issues involved in psychiatric classification seem to be increasingly neglected in contrast to a focus on specific and empirical aspects which appear to have come to dominate the study of classification in the field. This article explores how the psychiatric field (in the UK and US) has chosen to analyse classification over time. Publication trends of articles in both The American Journal of Psychiatry and The British Journal of Psychiatry (...)
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  13.  94
    Diagnosing the DSM: Diagnostic Classification Needs Fundamental Reform.Hyman Steven - 2011 - Cerebrum.
    Editor’s Note: If all goes as planned, the American Psychiatric Association will release a new Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in May 2013. Since 1980, the DSM has provided a shared diagnostic language to clinicians, patients, scientists, school systems, courts, and pharmaceutical and insurance companies; any changes to the influential manual will have serious ramifications. But, argues Dr. Steven Hyman, the DSM is a poor mirror of clinical and biological realities; a fundamentally new approach to diagnostic (...)
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  14. Phenomenology and the Crisis of Contemporary Psychiatry: Contingency, Naturalism, and Classification.Anthony Vincent Fernandez - 2016 - Dissertation, University of South Florida
    This dissertation is a contribution to the contemporary field of phenomenological psychopathology, or the phenomenological study of psychiatric disorders. The work proceeds with two major aims. The first is to show how a phenomenological approach can clarify and illuminate the nature of psychopathology—specifically those conditions typically labeled as major depressive disorder and bipolar disorder. The second is to show how engaging with psychopathological conditions can challenge and undermine many phenomenological presuppositions, especially phenomenology’s status as a transcendental philosophy and its (...)
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  15. 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 (...)
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  16. Philosophy of Psychiatry.Jonathan Y. Tsou - 2021 - Cambridge: Cambridge University Press.
    Jonathan Y. Tsou examines and defends positions on central issues in philosophy of psychiatry. The positions defended assume a naturalistic and realist perspective and are framed against skeptical perspectives on biological psychiatry. Issues addressed include the reality of mental disorders; mechanistic and disease explanations of abnormal behavior; definitions of mental disorder; natural and artificial kinds in psychiatry; biological essentialism and the projectability of psychiatric categories; looping effects and the stability of mental disorders; psychiatric classification; and the validity (...)
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  17. Epistemological Reflections About the Crisis of the DSM-5 and the Revolutionary Potential of the RDoC Project.Massimiliano Aragona - 2014 - Dialogues in Philosophy, Mental and Neuro Sciences 7 (1):11-20.
    This paper tests the predictions of an epistemological model that considered the DSM psychiatric classification (in the neopositivist and neo-Kraepelinian shape introduced by the DSM-III) as a scientific paradigm in crisis. As predicted, the DSM-5 did not include revolutionary proposals in its basic structure. In particular, the possibility of a dimensional revolution has not occurred and early proposals of etiopathogenic diagnoses were not implemented due to lack of specific knowledge in that field. However, conceiving the DSM-5 as a (...)
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  18. New Directions in Philosophy of Medicine.Jacob Stegenga, Ashley Kennedy, Serife Tekin, Saana Jukola & Robyn Bluhm - forthcoming - In James Marcum (ed.), Bloomsbury Companion to Contemporary Philosophy of Medicine. Bloomsbury Academic. pp. 343-367.
    The purpose of this chapter is to describe what we see as several important new directions for philosophy of medicine. This recent work (i) takes existing discussions in important and promising new directions, (ii) identifies areas that have not received sufficient and deserved attention to date, and/or (iii) brings together philosophy of medicine with other areas of philosophy (including bioethics, philosophy of psychiatry, and social epistemology). To this end, the next part focuses on what we call the “epistemological turn” in (...)
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  19. A Logical-Pragmatic Perspective on Validity.Adriano C. T. Rodrigues & Claudio E. M. Banzato - 2009 - Dialogues in Philosophy, Mental and Neuro Sciences 2 (2):40-44.
    Background: Despite being often taken as the benchmark of quality for diagnostic and classificatory tools, 'validity' is admitted as a poorly worked out notion in psychiatric nosology. Objective: Here we aim at presenting a view that we believe to do better justice to the significance of the notion of validity, as well as at explaining away some misconceptions and inappropriate expectations regarding this attribute in the aforementioned context. Method: The notion of validity is addressed taking into account its role, (...)
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  20. Identifying the Explanatory Domain of the Looping Effect: Congruent and Incongruent Feedback Mechanisms of Interactive Kinds.Tuomas Vesterinen - 2021 - Journal of Social Ontology 6 (2):1-27.
    Winner of the 2020 Essay Competition of the International Social Ontology Society. -/- Ian Hacking uses the looping effect to describe how classificatory practices in the human sciences interact with the classified people. While arguably this interaction renders the affected human kinds unstable and hence different from natural kinds, realists argue that also some prototypical natural kinds are interactive and human kinds in general are stable enough to support explanations and predictions. I defend a more fine-grained realist interpretation of interactive (...)
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  21. Integrating Clinical Staging and Phenomenological Psychopathology to Add Depth, Nuance, and Utility to Clinical Phenotyping: A Heuristic Challenge.Barnaby Nelson, Patrick D. McGorry & Anthony Vincent Fernandez - 2021 - The Lancet Psychiatry 8 (2):162-168.
    Psychiatry has witnessed a new wave of approaches to clinical phenotyping and the study of psychopathology, including the National Institute of Mental Health’s Research Domain Criteria, clinical staging, network approaches, the Hierarchical Taxonomy of Psychopathology, and the general psychopathology factor, as well as a revival of interest in phenomenological psychopathology. The question naturally emerges as to what the relationship between these new approaches is – are they mutually exclusive, competing approaches, or can they be integrated in some way and used (...)
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  22. The Diagnosis of Mental Disorders: The Problem of Reification.Steven Edward Hyman - 2010 - Annual Review of Clinical Psychology 6:155-179.
    A pressing need for interrater reliability in the diagnosis of mental disorders emerged during the mid-twentieth century, prompted in part by the development of diverse new treatments. The Diagnostic and Statistical Manual of Mental Disorders (DSM), third edition answered this need by introducing operationalized diagnostic criteria that were field-tested for interrater reliability. Unfortunately, the focus on reliability came at a time when the scientific understanding of mental disorders was embryonic and could not yield valid disease definitions. Based on accreting problems (...)
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  23. The Concept of Mental Disorder and the DSM-V.Massimiliano Aragona - 2009 - Dialogues in Philosophy, Mental and Neuro Sciences 2 (1):1-14.
    In view of the publication of the DSM-V researchers were asked to discuss the theoretical implications of the definition of mental disorders. The reasons for the use, in the DSM-III, of the term disorder instead of disease are considered. The analysis of these reasons clarifies the distinction between the general definition of disorder and its implicit, technical meaning which arises from concrete use in DSM disorders. The characteristics and limits of this technical meaning are discussed and contrasted to alternative definitions, (...)
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  24. Psychopathy and the DSM-IV Criteria for Antisocial Personality Disorder.Robert Hare, S. D. Hart & T. J. Harpur - 1991 - Journal of Abnormal Psychology 100: 391–398.
    The Axis II Work Group of the Task Force on Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) has expressed concern that antisocial personality disorder (APD) criteria are too long and cumbersome and that they focus on antisocial behaviors rather than personality traits central to traditional conceptions of psychopathy and to international criteria. R. D. Hare et al describe an alternative to the approach taken in the DSM-III—Revised (DSM-III—R; American Psychiatric Association, 1987), namely, the revised Psychopathy Checklist. The authors (...)
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  25. Review of the „Handbook of Antisocial personality disorder“. [REVIEW]Andrej Poleev - 2018 - Enzymes 16.
    The Antisocial personality disorder and several other psychiatric constructs are questioned and deconstructed in this review, that uses psychoanalytic approach to explain the nature of psychopathy and to give recommendations in this respect. -/- In vorliegender Rezension werden psychiatrische Konstrukte psychoanalytischer Bewertung unterzogen und dekonstruiert. Während die Entität „Antisoziale Persönlichkeitsstörung“ aufgrund ihrer Unwissenschaftlichkeit verworfen wird, besteht mentales Konstrukt „Psychopathie“ der Realitätsprüfung. In weiterem Verlauf der Rezension wird Versuch unternommen, das Phänomen der Psychopathie aufzuklären, um sie begrifflich sowie gesundheitlich einzugrenzen.
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  26. Nature and Main Kinds of Psychopathological Mechanisms.Panagiotis Oulis - 2010 - Dialogues in Philosophy, Mental and Neuro Sciences 3 (2):27-34.
    The paper deals with two central issues in the philosophy of neuroscience and psychiatry, namely those of the nature and the major kinds and types of psychopathological mechanisms. Contrary to a widespread view, I argue that mechanisms are not kinds of systems but kinds of processes unfolding in systems or between systems. More precisely, I argue that psychopathological mechanisms are sets of actions and interactions between brain-systems or circuits as well as between the latter and other systems in one's body (...)
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  27. Attention Deficit Hyperactivity Disorder and Scientific Epistemology.Steven Thurber, William Sheehan & Richards J. Roberts - 2009 - Dialogues in Philosophy, Mental and Neuro Sciences 2 (2):33-39.
    Attention Deficit Hyperactivity Disorder (ADHD) continues to be controversial with arguments for and against its veracity being waged by individuals representing a variety of disciplines from behavioral scientists to philosophers. Our perspective focuses on the epistemological underpinnings of what is now commonly known as ADHD. Its ignominious history and current disputes may stem from a "pessimistic" epistemology, meaning that truth is only the province of persons in authority and power. The authoritative organizations that govern the diagnostic labels and criteria are (...)
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  28. In What Sense Are Mental Disorders Brain Disorders? Explicating the Concept of Mental Disorder Within RDoC.Marko Jurjako & Luca Malatesti - 2020 - Phenomenology and Mind 18:182-198.
    Recently there has been a trend of moving towards biological and neurocognitive based classifications of mental disorders that is motivated by a dissatisfaction with the syndrome-based classifications of mental disorders. The Research Domain Criteria (indicated with the acronym RDoC) represents a bold and systematic attempt to foster this advancement. However, RDoC faces theoretical and conceptual issues that need to be addressed. Some of these difficulties emerge when we reflect on the plausible reading of the slogan “mental disorders are brain disorders”, (...)
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  29. Delusion as a Folk Psychological Kind.José Eduardo Porcher - 2016 - Filosofia Unisinos 17 (2):212-226.
    In this paper I discuss the scientific respectability of delusion as a psychiatric category. First, I present the essentialist objection to the natural kindhood of psychiatric categories, as well as non-essentialism about natural kinds as a response to that objection. Second, I present a nuanced classification of kinds of kinds. Third, drawing on the claim that the attribution of delusion relies on a folk psychological underpinning, I present the mind-dependence objection to the natural kind status of delusion. (...)
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  30. Mango Classification Using Deep Learning.Alaa Soliman Abu Mettleq, Ibtesam M. Dheir, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):22-29.
    Abstract: In worldwide, there are several hundred cultivars of mango. Depending on the cultivar, mango fruit varies in size, shape, sweetness, skin color, and flesh color which may be pale yellow, gold, or orange. Where there are more than 15 types of manga. In this paper, two types Mango classification approach is presented with a dataset that contains approximately 1200 images. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. (...)
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  31. Classification of Global Catastrophic Risks Connected with Artificial Intelligence.Alexey Turchin & David Denkenberger - 2020 - AI and Society 35 (1):147-163.
    A classification of the global catastrophic risks of AI is presented, along with a comprehensive list of previously identified risks. This classification allows the identification of several new risks. We show that at each level of AI’s intelligence power, separate types of possible catastrophes dominate. Our classification demonstrates that the field of AI risks is diverse, and includes many scenarios beyond the commonly discussed cases of a paperclip maximizer or robot-caused unemployment. Global catastrophic failure could happen at (...)
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  32. Are Psychiatric Kinds Real?Helen Beebee & Nigel Sabbarton-Leary - 2010 - European Journal of Analytic Philosophy 6 (1):11-27.
    The paper considers whether psychiatric kinds can be natural kinds and concludes that they can. This depends, however, on a particular conception of ‘natural kind’. We briefly describe and reject two standard accounts – what we call the ‘stipulative account’ (according to which apparently a priori criteria, such as the possession of intrinsic essences, are laid down for natural kindhood) and the ‘Kripkean account’ (according to which the natural kinds are just those kinds that obey Kripkean semantics). We then (...)
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  33. Email Classification Using Artificial Neural Network.Ahmed Alghoul, Sara Al Ajrami, Ghada Al Jarousha, Ghayda Harb & Samy S. Abu-Naser - 2018 - International Journal of Academic Engineering Research (IJAER) 2 (11):8-14.
    Abstract: In recent years email has become one of the fastest and most economical means of communication. However increase of email users has resulted in the dramatic increase of spam emails during the past few years. Data mining -classification algorithms are used to categorize the email as spam or non-spam. Numerous email spam messages are marketable in nature but might similarly encompass camouflaged links that seem to be for acquainted websites but actually lead to phishing web sites or sites (...)
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  34. Psychiatric Progress and The Assumption of Diagnostic Discrimination.Kathryn Tabb - 2015 - Philosophy of Science 82:1047-1058.
    The failure of psychiatry to validate its diagnostic constructs is often attributed to the prioritizing of reliability over validity in the structure and content of the Diagnostic and Statistical Manual of Mental Disorders. Here I argue that in fact what has retarded biomedical approaches to psychopathology is unwarranted optimism about diagnostic discrimination: the assumption that our diagnostic tests group patients together in ways that allow for relevant facts about mental disorder to be discovered. I consider the Research Domain Criteria framework (...)
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  35. 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 (...)
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  36. Lemon Classification Using Deep Learning.Jawad Yousif AlZamily & Samy Salim Abu Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):16-20.
    Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 (...)
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  37. Banana Classification Using Deep Learning.Ahmed F. Al-Daour, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):6-11.
    Abstract: Banana, fruit of the genus Musa, of the family Musaceae, one of the most important fruit crops of the world. The banana is grown in the tropics, and, though it is most widely consumed in those regions, it is valued worldwide for its flavour, nutritional value, and availability throughout the year. Cavendish, or dessert, bananas are most commonly eaten fresh, though they may be fried or mashed and chilled in pies or puddings. They may also be used to flavour (...)
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  38. Classification Prediction of SBRCTs Cancers Using Artificial Neural Network.Remah Al-Massri, Yomna Al-Astel, Hanan Ziadia, Deyaa K. Mousa & Samy S. Abu-Naser - 2018 - International Journal of Academic Engineering Research (IJAER) 2 (11):1-7.
    Abstract: Small Blue Round Cell Tumors (SBRCTs) are a heterogeneous group of tumors that are difficult to diagnose because of overlapping morphologic, immunehistochemical, and clinical features. About two-thirds of EWSR1-negative SBRCTs are associated with CIC-DUX4-related fusions, whereas another small subset shows BCOR-CCNB3 X-chromosomal par acentric inversion. In this paper, we propose an ANN model to Classify and Predict SBRCTs Cancers. The accuracy of the classification reached 100%.
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  39. Glass Classification Using Artificial Neural Network.Mohmmad Jamal El-Khatib, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (23):25-31.
    As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass (...) and testing of artificial neural network model created by the JustNN. The aim of the study is help investigator in identifying the type of glass found in arena of the crime. The Neural Network model was trained and validated using the type of glass dataset. The accuracy of model in predicting the type of glass reached 96.7%. Thus neural network is suitable for predicating type of glasses. (shrink)
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  40. Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.
    Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...)
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  41. Avocado Classification Using Deep Learning.Mohammed N. Abu Alqumboz & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):30-34.
    Avocado is the fruit of the avocado tree, scientifically known as Persia Americana. This fruit is prized for its high nutrient value and is added to various dishes due to its good flavor and rich texture. It is the main ingredient in guacamole. These days, the avocado has become an incredibly popular food among health-conscious individuals. It’s often referred to as a superfood, which is not surprising given its health properties. Using a public dataset of 1,234 images of Avocado collected (...)
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  42. Defeasible Classifications and Inferences From Definitions.Fabrizio Macagno & Douglas Walton - 2010 - Informal Logic 30 (1):34-61.
    We contend that it is possible to argue reasonably for and against arguments from classifications and definitions, provided they are seen as defeasible (subject to exceptions and critical questioning). Arguments from classification of the most common sorts are shown to be based on defeasible reasoning of various kinds represented by patterns of logical reasoning called defeasible argumentation schemes. We show how such schemes can be identified with heuristics, or short-cut solutions to a problem. We examine a variety of arguments (...)
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  43. Classification of Apple Fruits by Deep Learning.Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-7.
    Abstract: Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is (...)
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  44.  97
    A Classification System for Argumentation Schemes.Douglas Walton & Fabrizio Macagno - 2016 - Argument and Computation 6 (3):219-245.
    This paper explains the importance of classifying argumentation schemes, and outlines how schemes are being used in current research in artificial intelligence and computational linguistics on argument mining. It provides a survey of the literature on scheme classification. What are so far generally taken to represent a set of the most widely useful defeasible argumentation schemes are surveyed and explained systematically, including some that are difficult to classify. A new classification system covering these centrally important schemes is built.
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  45. Plant Seedlings Classification Using Deep Learning.Belal A. M. Ashqar, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (1):7-14.
    Agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Preceding instrument vision methods established for selective weeding have confronted with major challenges for trustworthy and precise weed recognition. In this paper, (...)
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  46. Is the Exclusion of Psychiatric Patients From Access to Physician-Assisted Suicide Discriminatory?Joshua James Hatherley - 2019 - Journal of Medical Ethics 45 (12):817-820.
    Advocates of physician-assisted suicide often argue that, although the provision of PAS is morally permissible for persons with terminal, somatic illnesses, it is impermissible for patients suffering from psychiatric conditions. This claim is justified on the basis that psychiatric illnesses have certain morally relevant characteristics and/or implications that distinguish them from their somatic counterparts. In this paper, I address three arguments of this sort. First, that psychiatric conditions compromise a person’s decision-making capacity. Second, that we cannot have (...)
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  47. The Social Brain in Psychiatric and Neurological Disorders.Daniel P. Kennedy & Ralph Adolphs - 2012 - Trends in Cognitive Sciences 16 (11):559-572.
    Psychiatric and neurological disorders have historically provided key insights into the structure-function rela- tionships that subserve human social cognition and behavior, informing the concept of the ‘social brain’. In this review, we take stock of the current status of this concept, retaining a focus on disorders that impact social behavior. We discuss how the social brain, social cognition, and social behavior are interdependent, and emphasize the important role of development and com- pensation. We suggest that the social brain, and (...)
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  48. Type of Tomato Classification Using Deep Learning.Mahmoud A. Alajrami & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):21-25.
    Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...)
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  49. Classification of Animal Species Using Neural Network.Rand Suhail Abu Al-Araj, Shaima Khalil Abed, Ahmed Nabil Al-Ghoul & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (10):23-31.
    Abstract: Over 1.5 million living animal species have been described—of which around 1 million are insects—but it has been estimated there are over 7 million animal species in total. Animals range in length from 8.5 micrometres to 33.6 metres. In this paper an Artificial Neural Network (ANN) model, was developed and tested to predict animal species. There are a number of features that influence the classification of animal species. Such as the existence of hair/ feather, if the animal gives (...)
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  50.  95
    Evolving Efficient Classification Patterns in Lymphography Using EasyNN.Ahmed Suhail Jaber, Ahmed Khalil Humid, Mohammed Ahmed Hussein & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (9):66-73.
    A neural network exploits the non-linearity of a problem to define a set of desired inputs. Neural networks are important in realizing a better way for classification in machine learning and finds application in various fields such as data mining, pattern recognition, forensics etc. In this paper, our focus is to classify of patient records obtained from clinical data. Feature selection is a supervised method that attempts to select a subset of the predictor features based on the information gain. (...)
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