Development and external validation of a logistic and a penalized logistic model using machine-learning techniques to predict suicide attempts: A multicenter prospective cohort study in Korea-Reference-Cited by-同舟云学术

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Development and external validation of a logistic and a penalized logistic model using machine-learning techniques to predict suicide attempts: A multicenter prospective cohort study in Korea

Published:2024-08 Issue: Volume:176 Page:442-451
ISSN:0022-3956
Container-title:Journal of Psychiatric Research
language:en
Short-container-title:Journal of Psychiatric Research

Author:

Yang Jeong Hun,Chung Yuree,Rhee Sang Jin,Park Kyungtaek,Kim Min Ji,Lee Hyunju,Song Yoojin,Lee Sang Yeol,Shim Se-Hoon,Moon Jung-Joon,Cho Seong-Jin,Kim Shin Gyeom,Kim Min-Hyuk,Lee Jinhee,Kang Won Sub,Park C. Hyung Keun,Won Sungho,Ahn Yong Min^ORCID

Funder

National Center for Mental Health

Publisher

Elsevier BV

Reference49 articles.

1. Ministry of Health and Welfare;Ahn,2019

2. Standardization of the Korean version of screening tool for depression (Patient Health Questionnaire-9, PHQ-9);An;J. Kor. Soc. Biol. Ther. Psychiatr.,2013

3. AUDIT-the Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Heath Care;Babor,2001

4. Risk factors for fatal and nonfatal repetition of suicide attempts: a literature review;Beghi;Neuropsychiatric Dis. Treat.,2013

5. Prediction models for suicide attempts and deaths: a systematic review and simulation;Belsher;JAMA Psychiatr.,2019

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