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Continuous-time probabilistic models for longitudinal electronic health records.
Kaplan, Alan D; Tipnis, Uttara; Beckham, Jean C; Kimbrel, Nathan A; Oslin, David W; McMahon, Benjamin H.
Afiliación
  • Kaplan AD; Computational Engineering Division, Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA 94550, USA. Electronic address: kaplan7@llnl.gov.
  • Tipnis U; Computational Engineering Division, Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA 94550, USA.
  • Beckham JC; Durham Veterans Affairs (VA) Health Care System, Durham, NC, USA; VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Kimbrel NA; Durham Veterans Affairs (VA) Health Care System, Durham, NC, USA; VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA; VA Health Services Research and Developmen
  • Oslin DW; VISN 4 Mental Illness Research, Education, and Clinical Center, Center of Excellence, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, PA, USA.
  • McMahon BH; Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA.
J Biomed Inform ; 130: 104084, 2022 06.
Article en En | MEDLINE | ID: mdl-35533991
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos