Identification of Suicide Attempt Risk Factors in a National US Survey Using Machine Learning-Reference-Cited by-同舟云学术

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Identification of Suicide Attempt Risk Factors in a National US Survey Using Machine Learning

Published:2021-04-01 Issue:4 Volume:78 Page:398
ISSN:2168-622X
Container-title:JAMA Psychiatry
language:en
Short-container-title:JAMA Psychiatry

Author:

García de la Garza Ángel¹,Blanco Carlos²,Olfson Mark³,Wall Melanie M.¹³

Affiliation:

1. Department of Biostatistics, Columbia University, New York, New York

2. Division of Epidemiology, Services and Prevention Research, National Institute on Drug Abuse, Bethesda, Maryland

3. Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York

Publisher

American Medical Association (AMA)

Subject

Psychiatry and Mental health

Link

https://jamanetwork.com/journals/jamapsychiatry/articlepdf/2774348/jamapsychiatry_garca_de_la_garza_2021_oi_200077_1616513423.37037.pdf

Reference70 articles.

1. The epidemiology of case fatality rates for suicide in the northeast.;Miller;Ann Emerg Med,2004

2. Suicide mortality in the United States: the importance of attending to method in understanding population-level disparities in the burden of suicide.;Miller;Annu Rev Public Health,2012

3. Suicide case-fatality rates in the United States, 2007 to 2014: a nationwide population-based study.;Conner;Ann Intern Med,2019

4. Suicide attempt as a risk factor for completed suicide: even more lethal than we knew.;Bostwick;Am J Psychiatry,2016

5. Prior suicide attempts are less common in suicide decedents who died by firearms relative to those who died by other means.;Anestis;J Affect Disord,2016

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