Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark-Reference-Cited by-同舟云学术

Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark

Published:2020-01-01 Issue:1 Volume:77 Page:25
ISSN:2168-622X
Container-title:JAMA Psychiatry
language:en
Short-container-title:JAMA Psychiatry

Author:

Gradus Jaimie L.¹²,Rosellini Anthony J.³,Horváth-Puhó Erzsébet²,Street Amy E.⁴⁵,Galatzer-Levy Isaac⁶⁷,Jiang Tammy¹,Lash Timothy L.²⁸,Sørensen Henrik T.²

Affiliation:

1. Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts

2. Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark

3. Center for Anxiety and Related Disorders, Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts

4. National Center for Posttraumatic Stress Disorder, Veterans Affairs Boston Healthcare System, Boston, Massachusetts

5. Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts

6. Department of Psychiatry, New York University School of Medicine, New York

7. AICure, New York, New York

8. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia

Publisher

American Medical Association (AMA)

Subject

Psychiatry and Mental health

Link

https://jamanetwork.com/journals/jamapsychiatry/articlepdf/2753014/jamapsychiatry_gradus_2019_oi_190064.pdf

Reference63 articles.

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3. Sociodemographic, psychiatric and somatic risk factors for suicide: a Swedish national cohort study.;Crump;Psychol Med,2014

4. Suicide as an outcome for mental disorders: a meta-analysis.;Harris;Br J Psychiatry,1997

5. Social factors in suicide.;Heikkinen;Br J Psychiatry,1995

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