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
Juliet Beni Edgcomb
1, 2
, MD, PhD ;
Chi-hong Tseng
3
, PhD ;
Mengtong Pan
3
, BA, BS ;
Alexandra Klomhaus
3
, PhD ;
Bonnie T Zima
1, 2
, MPH, MD
1
Mental Health Informatics and Data Science (MINDS) Hub, Center for Community Health, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, United States
2
Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
3
Department of Medicine Statistics Core, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
Corresponding Author:
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Juliet Beni Edgcomb, MD, PhD
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Mental Health Informatics and Data Science (MINDS) Hub, Center for Community Health
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Semel Institute for Neuroscience and Human Behavior
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University of California Los Angeles
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760 Westwood Plaza
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Los Angeles, CA, 90095
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United States
-
Phone:
1 310 794-8278
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Email: jedgcomb@mednet.ucla.edu