Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations.

Comess, Saskia; Akbay, Alexia; Vasiliou, Melpomene; Hines, Ronald N; Joppa, Lucas; Vasiliou, Vasilis; Kleinstreuer, Nicole

Comess, Saskia; Akbay, Alexia; Vasiliou, Melpomene; Hines, Ronald N; Joppa, Lucas; Vasiliou, Vasilis; Kleinstreuer, Nicole.

Afiliação

Comess S; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
Akbay A; Department of Statistics and Data Science, Yale University, New Haven, CT, United States.
Vasiliou M; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
Hines RN; Symbrosia Inc, Kailua-Kona, HI, United States.
Joppa L; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
Vasiliou V; US Environmental Protection Agency, Center for Public Health and Environmental Assessment, Research Triangle Park, NC, United States.
Kleinstreuer N; Microsoft Corporation, AI for Earth, Redmond, WA, United States.

Front Artif Intell ; 32020 May.

Article em En | MEDLINE | ID: mdl-33184612

Palavras-chave

artificial intelligence; big data; environmental health sciences; machine learning; open data; public health

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Artif Intell Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

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