Cited by 16Electronic Health Records SystemsMedical Coding and Health InformationMachine Learning in Healthcare

Personal life events—a promising dimension for psychiatry in electronic health records

Open access
Weissman, Myrna M., Pathak, Jyotishman, Talati, Ardesheer·2020·JAMA Psychiatry

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Crossref · 10.1001/jamapsychiatry.2019.3217

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  • Even though PPV in such an optimal model would still be relatively low, the net benefit would likely be positive given that several suicide prevention interventions are cost-effective even at low PPV.

    “Second, even though PPV in such an optimal model would still be relatively low, the net benefit would likely be positive given that several suicide prevention interventions are cost-effective even at low PPV. 669,670”

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Authors
Weissman, M. M., Pathak, J., & Talati, A.
Affiliations
  • New York State Psychiatric Institute (US)
  • Cornell University (US)
Venue
JAMA Psychiatry
Published
2020-02-01
Volume
77
Issue
2
Pages
115
ISSN
2168-622X (ISSN-L)
OpenAlex
W2981612840
Cited by
16
References
10
Citations by year
2026: 2 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 5 · 2020: 2
FWCI
2.91
Type
journal article
Language
en
Open access
Locations
  • JAMA Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Columbia Academic Commons (Columbia University)
Funders
National Institute of Mental Health (R01MH036197, R01MH114967, P50MH113838, R01MH121921, R01MH105384, R01MH119510, R01MH119177)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
Keywords
personal life events, electronic health records, mental illness
MeSH terms
Mental Disorders, Humans, Life Change Events, Psychiatry, Electronic Health Records, Social Determinants of Health

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