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Simulating exposure-related behaviors using agent-based models embedded with needs-based artificial intelligence.
Brandon, Namdi; Dionisio, Kathie L; Isaacs, Kristin; Tornero-Velez, Rogelio; Kapraun, Dustin; Setzer, R Woodrow; Price, Paul S.
Afiliação
  • Brandon N; National Exposure Research Laboratory, Office of Research and Development, United States Environmental Protection Agency, RTP, NC, USA.
  • Dionisio KL; National Exposure Research Laboratory, Office of Research and Development, United States Environmental Protection Agency, RTP, NC, USA.
  • Isaacs K; National Exposure Research Laboratory, Office of Research and Development, United States Environmental Protection Agency, RTP, NC, USA.
  • Tornero-Velez R; National Exposure Research Laboratory, Office of Research and Development, United States Environmental Protection Agency, RTP, NC, USA.
  • Kapraun D; National Center for Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, RTP, NC, USA.
  • Setzer RW; National Center for Computational Toxicology, Office of Research and Development, United States Environmental Protection Agency, RTP, NC, USA.
  • Price PS; National Exposure Research Laboratory, Office of Research and Development, United States Environmental Protection Agency, RTP, NC, USA. Price.PaulS@epa.gov.
J Expo Sci Environ Epidemiol ; 30(1): 184-193, 2020 01.
Article em En | MEDLINE | ID: mdl-30242268
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Exposição Ambiental Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Expo Sci Environ Epidemiol Assunto da revista: EPIDEMIOLOGIA / SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Exposição Ambiental Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Expo Sci Environ Epidemiol Assunto da revista: EPIDEMIOLOGIA / SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos