Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans.

Makridis, Christos A; Zhao, David Y; Bejan, Cosmin A; Alterovitz, Gil

Makridis, Christos A; Zhao, David Y; Bejan, Cosmin A; Alterovitz, Gil.

Afiliación

Makridis CA; Stanford University Digital Economy Lab, and National Artificial Intelligence Institute at the Department of Veterans Affairs, 810 Vermont Ave NW, Washington, DC 20420, USA. Electronic address: christos.makridis@va.gov.
Zhao DY; Department of Computer Science at Stanford University, Gates Computer Science Building, 353 Jane Stanford Way, Stanford, CA 94305, USA. Electronic address: dzhao0@stanford.edu.
Bejan CA; Department Biomedical Informatics at Vanderbilt University Medical Center, 2525 West End Avenue, Nashville, TN, 37203, USA. Electronic address: adi.bejan@vanderbilt.edu.
Alterovitz G; Harvard Medical School, Boston Children's Hospital, National Artificial Intelligence Institute at the Department of Veterans Affairs, 810 Vermont Ave NW, Washington, DC 20420, USA. Electronic address: Gil.Alterovitz@va.gov.

Comput Biol Med ; 133: 104354, 2021 06.

Article en En | MEDLINE | ID: mdl-33845269

Asunto(s)

Calidad de Vida; Veteranos; Humanos; Aprendizaje Automático; Factores Socioeconómicos

Palabras clave

Health informatics; Machine learning; Socioeconomics; Subjective well-being; Veterans

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Veteranos Tipo de estudio: Health_economic_evaluation / Prognostic_studies Aspecto: Determinantes_sociais_saude / Equity_inequality / Patient_preference Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google