Open AccessIdentification of Suicide Attempt Risk Factors in a National US Survey Using Machine Learning
Author(s) -
Ángel García de la Garza,
Carlos Blanco,
Mark Olfson,
Melanie M. Wall
Publication year - 2021
Publication title -
jama psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.531
H-Index - 365
eISSN - 2168-6238
pISSN - 2168-622X
DOI - 10.1001/jamapsychiatry.2020.4165
Subject(s) - population , demography , suicide prevention , poison control , mental health , suicide attempt , injury prevention , census , psychology , medicine , psychiatry , medical emergency , sociology
Because more than one-third of people making nonfatal suicide attempts do not receive mental health treatment, it is essential to extend suicide attempt risk factors beyond high-risk clinical populations to the general adult population.
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