Your browser doesn't support javascript.
loading
Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study.
Morris, Matthew C; Moradi, Hamidreza; Aslani, Maryam; Sims, Mario; Schlundt, David; Kouros, Chrystyna D; Goodin, Burel; Lim, Crystal; Kinney, Kerry.
Afiliação
  • Morris MC; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Moradi H; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
  • Aslani M; Department of Data Science, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
  • Sims M; Department of Computer Science, University of North Carolina Agricultural and Technical State University, Greensboro, North Carolina, United States of America.
  • Schlundt D; Department of Data Analytics, University of North Texas, Denton, Texas, United States of America.
  • Kouros CD; Department of Social Medicine, Population, and Public Health, University of California, Riverside, California, United States of America.
  • Goodin B; Department of Psychology, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Lim C; Department of Psychology, Southern Methodist University, Dallas, Texas, United States of America.
  • Kinney K; Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, Texas, United States of America.
PLoS One ; 18(11): e0294050, 2023.
Article em En | MEDLINE | ID: mdl-37948388
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Aprendizado Profundo Limite: Adult / Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Aprendizado Profundo Limite: Adult / Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos