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RESEARCH AND GOOGLE TREND FOR HUMAN NEUROPSYCHIATRIC DISORDERS AND MACHINE LEARNING: A BRIEF REPORT
Author(s) -
Manik Sharma
Publication year - 2021
Publication title -
psychiatria danubina
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 34
eISSN - 1849-0867
pISSN - 0353-5053
DOI - 10.24869/psyd.2021.354
Subject(s) - scopus , machine learning , mood , artificial intelligence , web of science , the internet , mood disorders , psychology , psychiatry , medicine , medline , computer science , anxiety , world wide web , political science , pathology , meta analysis , law
The key characteristics of this study are to highlight the research trend pertaining to the use of machine learning in the diagnosis and management of neuropsychiatric conditions.

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