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Proceedings of Singapore Healthcare, 2010 Our study in a psychiatric ward of a general hospital aims to identify acutely ill psychiatric patients who are at high risk of falls. Patient falls were identified by data collectors after they were reported by hospital staff into the Fall Reporting ...
ZJA Meng +4 more
doaj +1 more source
Sports Psychiatry, 2022 . Introduction: Sports psychiatry, a field of psychiatry, is a young medical discipline. The aim of this study was to gauge opinions on the following: sports psychiatry as a specialized subdiscipline, its areas of activity among professionals, the desire
Malte Christian Claussen +3 more
doaj +1 more source
Modern Views of Machine Learning for Precision Psychiatry [PDF]
arXiv, 2022 In light of the NIMH's Research Domain Criteria (RDoC), the advent of functional neuroimaging, novel technologies and methods provide new opportunities to develop precise and personalized prognosis and diagnosis of mental disorders. Machine learning (ML) and artificial intelligence (AI) technologies are playing an increasingly critical role in the new ...
arxiv
A cross-sectional study of attitude towards psychiatry among undergraduate medical students
Open Journal of Psychiatry and Allied Sciences, 2021 Background: Psychiatric disorders are common, affecting millions of population worldwide. Patients with psychiatric disorders, psychiatrists as professionals, and psychiatry as a subject are seen in negative attitudes.
Shiva Kumar BK, Neeraj Raj B, Vinay HR
doaj +1 more source
Reasons for pursuing psychiatry as a career: A qualitative study of future psychiatrists from India
Archives of Mental Health, 2018 Context: Despite extensive research on the attitudes of medical students toward psychiatry in India as well as worldwide, the actual reasons due to which medical graduates finally select psychiatry for their future careers is still unclear.
Priya Sreedaran, Divya Hegde
doaj +1 more source
Computational Psychiatry in Borderline Personality Disorder [PDF]
Current Behavioral Neuroscience Reports, March 2017, Vol 4, Issue
1, pp31-40, 2017 Purpose of review: We review the literature on the use and potential use of computational psychiatry methods in Borderline Personality Disorder. Recent findings: Computational approaches have been used in psychiatry to increase our understanding of the molecular, circuit, and behavioral basis of mental illness.
arxiv +1 more source
The Pros and Cons of Using Machine Learning and Interpretable Machine Learning Methods in psychiatry detection applications, specifically depression disorder: A Brief Review [PDF]
arXiv, 2023 The COVID-19 pandemic has forced many people to limit their social activities, which has resulted in a rise in mental illnesses, particularly depression. To diagnose these illnesses with accuracy and speed, and prevent severe outcomes such as suicide, the use of machine learning has become increasingly important.
arxiv
Making Sense of Computational Psychiatry [PDF]
, 2020 In psychiatry, we often speak of constructing "models." Here we try to make sense of what such a claim might mean, starting with the most fundamental question: "What is (and isn't) a model?". We then discuss, in a concrete measurable sense, what it means for a model to be useful. In so doing, we first identify the added value that a computational model
arxiv +1 more source
The Effect of Psychiatric Clerkship on Fifth Year Medical Students’ Attitudes Toward Psychiatry and Their Intention to Pursue Psychiatry as a Career [PDF]
Iranian Journal of Psychiatry, 2006 Objective: The purpose of this study was to examine whether attitudes toward psychiatry improved during psychiatric attachment as well as the relationship between attitudes to psychiatry and intention to pursue psychiatry as a career.
Yassaman Mottaghipour +2 more
doaj +1 more source