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Cannabis Consumption Among Musicians: About A Series Of 37 Cases
Introduction Many musicians have suffered the consequences of drug addiction. What about cannabis use? Objectives To describe the epidemiological characteristics of cannabis users among musiciens To study the prevalence of anxiety and depression ...
S. Brahim+7 more
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Could we predict an episode of delirium tremens? Case report
Introduction Delirium tremens is one of the most serious complications associated with alcohol withdrawal. It affects a percentage of 5 to 20% of users and is not related to the duration of consumption nor to the quantities taken.
A. Tounsi+4 more
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Acknowledgment to Reviewers of Psychiatry International in 2021
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Psychiatry International Editorial Office
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Acknowledgment to the Reviewers of Psychiatry International in 2022
High-quality academic publishing is built on rigorous peer review [...]
Psychiatry International Editorial Office
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2021 Mental Health Conference | June 4th, 2021
N ...
McGill Graduate Student Association of Psychiatry (GSAP)
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The psychiatric care across western countries has evolved from mental hospitals to community psychiatry as a by-product of deinstitutionalisation. The psychiatric care in India traditionally followed the homecare then shifted to mental asylums, then to ...
Barikar C Malathesh+4 more
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Career choice and influential factors among medical students majoring in psychiatry in China
Background The undergraduate program of psychiatry has been widely established in recent years to improve the education and recruitment of psychiatrists in China. We aim to investigate the career choice of medical students majoring in psychiatry in China
Ying-Jian Zhang+37 more
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Precision psychiatry: predicting predictability [PDF]
Precision psychiatry is an ermerging field that aims to provide individualized approaches to mental health care. Multivariate analysis and machine learning are used to create outcome prediction models based on clinical data such as demographics, symptom assessments, genetic information, and brain imaging.
arxiv +1 more source
Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022) [PDF]
Recently, Winter and Hahn [1] commented on our work on identifying subtypes of major psychiatry disorders (MPDs) based on neurobiological features using machine learning [2]. They questioned the generalizability of our methods and the statistical significance, stability, and overfitting of the results, and proposed a pipeline for disease subtyping.
arxiv +1 more source
Editorial Board, Jefferson Journal of Psychiatry, Volume 10, Number 2 ...
core +13 more sources