Development and validation of a risk prediction algorithm for the recurrence of suicidal ideation among general population with low mood.

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Abstract

Suicidal ideation is one of the strongest predictors of recent and future suicide attempt. This study aimed to develop and validate a risk prediction algorithm for the recurrence of suicidal ideation among population with low mood

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Author and article information

Journal

Journal ID (iso-abbrev): J Affect Disord

Title: Journal of affective disorders

Publisher: Elsevier BV

ISSN (Electronic): 1573-2517

ISSN (Print): 0165-0327

Publication date (Electronic): Mar 15 2016

Volume: 193

Affiliations

[1 ] Departments of Psychiatry and of Community Health Sciences, Cumming School of Medicine, University of Calgary, Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, TRW Building, 3280 Hospital Dr. NW, Calgary, AB, Canada T2N 4Z6. Electronic address: liuy@ucalgary.ca.

[2 ] Department of Psychiatry, Faculty of Medicine, University of Manitoba, PZ430-771 Bannatyne Avenue Winnipeg, MB, Canada R3E 3N4.

[3 ] Departments of Psychiatry and of Community Health Sciences, Cumming School of Medicine, University of Calgary, Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, TRW Building, 3280 Hospital Dr. NW, Calgary, AB, Canada T2N 4Z6.

Article

Publisher Item ID: S0165-0327(15)31033-8

DOI: 10.1016/j.jad.2015.12.072

PubMed ID: 26766029

SO-VID: 8d89076b-54bc-4514-8da0-8510653d3c17

History

Keywords: Suicidal ideation,Recurrence,Prediction algorithm

Data availability:

Keywords: Suicidal ideation, Recurrence, Prediction algorithm

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