Suicide theory-guided natural language processing of clinical progress notes to improve prediction of veteran suicide risk: protocol for a mixed-method study.

Meerwijk, Esther Lydia; Tamang, Suzanne R; Finlay, Andrea K; Ilgen, Mark A; Reeves, Ruth M; Harris, Alex H S

Meerwijk, Esther Lydia; Tamang, Suzanne R; Finlay, Andrea K; Ilgen, Mark A; Reeves, Ruth M; Harris, Alex H S.

Afiliação

Meerwijk EL; VA Health Services Research & Development, Center for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA esther.meerwijk@va.gov.
Tamang SR; VA Health Services Research & Development, Center for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA.
Finlay AK; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
Ilgen MA; VA Health Services Research & Development, Center for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA.
Reeves RM; Schar School of Policy and Government, George Mason University, Arlington, Virginia, USA.
Harris AHS; VA National Center on Homelessness Among Veterans, Durham, North Carolina, USA.

BMJ Open ; 12(8): e065088, 2022 08 24.

Article em En | MEDLINE | ID: mdl-36002210

Assuntos

Veteranos; Humanos; Processamento de Linguagem Natural; Dor; Ideação Suicida; Tentativa de Suicídio/prevenção & controle; Tentativa de Suicídio/psicologia

Palavras-chave

Health & safety; Health informatics; MENTAL HEALTH; PREVENTIVE MEDICINE; Risk management; Suicide & self-harm

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google