This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (632) Machine Learning (1738) Depression and Mood Disorders; Suicide Prevention (1520) Clinical Information and Decision Making (1656) Intentional Self-Harm (112) Decision Support for Health Professionals (1338)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46364, first published .
Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study

Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study

Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study

Authors of this article:

Kate H Bentley1, 2 Author Orcid Image ;   Emily M Madsen1, 3 Author Orcid Image ;   Eugene Song1, 3 Author Orcid Image ;   Yu Zhou1, 3 Author Orcid Image ;   Victor Castro4 Author Orcid Image ;   Hyunjoon Lee1, 3 Author Orcid Image ;   Younga H Lee2, 3 Author Orcid Image ;   Jordan W Smoller1, 2, 3 Author Orcid Image
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JMIR Formative Res: Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study https://t.co/KLeqBgQKPZ https://t.co/DK0ykZfuYs

2:25 PM · Jan 08, 2024

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JMIR Formative Research JMIR Formative Research @JMIR_Formative

RT @jmirpub: JMIR Formative Res: Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study…

2:25 PM · Jan 08, 2024

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Carlos Romero Olóriz Carlos Romero Olóriz @croloriz

RT @jmirpub: JMIR Formative Res: Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study…

9:24 PM · Jan 08, 2024

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