Your browser doesn't support javascript.
loading
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans.
Martinez, Carianne; Levin, Drew; Jones, Jessica; Finley, Patrick D; McMahon, Benjamin; Dhaubhadel, Sayera; Cohn, Judith; Oslin, David W; Kimbrel, Nathan A; Beckham, Jean C.
Afiliación
  • Martinez C; Sandia National Laboratories, Albuquerque, NM 87185, United States.
  • Levin D; Arizona State University, Tempe, AZ 85287, United States.
  • Jones J; Sandia National Laboratories, Albuquerque, NM 87185, United States.
  • Finley PD; Sandia National Laboratories, Albuquerque, NM 87185, United States.
  • McMahon B; Sandia National Laboratories, Albuquerque, NM 87185, United States.
  • Dhaubhadel S; Los Alamos National Laboratory, Los Alamos, NM 87544, United States.
  • Cohn J; Los Alamos National Laboratory, Los Alamos, NM 87544, United States.
  • Kimbrel NA; VISN 4 Mental Illness Research, Education, and Clinical Center, Center of Excellence, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, United States.
  • Beckham JC; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
J Am Med Inform Assoc ; 31(1): 220-230, 2023 12 22.
Article en En | MEDLINE | ID: mdl-37769328
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Intento de Suicidio / Veteranos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Intento de Suicidio / Veteranos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos