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

Clinical Mental Health Informatics (27) Depression and Mood Disorders; Suicide Prevention (1273) Intentional Self-Harm (89) Mental Health Issues in Adolescence (380) Pediatrics (121) Digital Biomarkers and Digital Phenotyping (177) Machine Learning (1373)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47084, first published .
Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches

Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches

Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches

Authors of this article:

Juliet Beni Edgcomb1, 2 Author Orcid Image ;   Chi-hong Tseng3 Author Orcid Image ;   Mengtong Pan3 Author Orcid Image ;   Alexandra Klomhaus3 Author Orcid Image ;   Bonnie T Zima1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually