An efficient landmark model for prediction of suicide attempts in multiple clinical settings-Reference-Cited by-同舟云学术

An efficient landmark model for prediction of suicide attempts in multiple clinical settings

Published:2023-05 Issue: Volume:323 Page:115175
ISSN:0165-1781
Container-title:Psychiatry Research
language:en
Short-container-title:Psychiatry Research

Author:

Sheu Yi-han^ORCID,Sun Jiehuan^ORCID,Lee Hyunjoon^ORCID,Castro Victor M.^ORCID,Barak-Corren Yuval^ORCID,Song Eugene^ORCID,Madsen Emily M.,Gordon William J.,Kohane Isaac S.,Churchill Susanne E.,Reis Ben Y.,Cai Tianxi^ORCID,Smoller Jordan W.^ORCID

Funder

National Institute of Mental Health

Tommy Fuss Fund

Harvard Medical School

Publisher

Elsevier BV

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference46 articles.

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2. Predicting suicidal behavior from longitudinal electronic health records;Barak-Corren;Am. J. Psychiatry,2017

3. Validation of an electronic health record-based suicide risk prediction modeling approach across multiple health care systems;Barak-Corren;JAMA Netw. Open,2020

4. Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: a machine learning study using Swedish national registry data;Chen;PLoS Med.,2020

5. Prediction of suicide among 372,813 individuals under medical check-up;Cho;J. Psychiatr. Res.,2020

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1. Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning applied to electronic health record data;2024-07-03

2. Predicting Suicidal Ideation, Planning, and Attempts among the Adolescent Population of the United States;Healthcare;2024-06-25

3. Continuous-Time and Dynamic Suicide Attempt Risk Prediction with Neural Ordinary Differential Equations;2024-02-27