Sleep Duration and Physical Activity Profiles Associated With Self-Reported Stroke in the United States: Application of Bayesian Belief Network Modeling Techniques.

Seixas, Azizi A; Henclewood, Dwayne A; Williams, Stephen K; Jagannathan, Ram; Ramos, Alberto; Zizi, Ferdinand; Jean-Louis, Girardin

Seixas, Azizi A; Henclewood, Dwayne A; Williams, Stephen K; Jagannathan, Ram; Ramos, Alberto; Zizi, Ferdinand; Jean-Louis, Girardin.

Afiliación

Seixas AA; Department of Population Health, Department of Psychiatry, NYU Langone Health, New York, NY, United States.
Henclewood DA; Booz Allen Hamilton, Boston, MA, United States.
Williams SK; Department of Population Health, Department of Psychiatry, NYU Langone Health, New York, NY, United States.
Jagannathan R; Emory University Rollins School of Public Health, Atlanta, GA, United States.
Ramos A; Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States.
Zizi F; Department of Population Health, Department of Psychiatry, NYU Langone Health, New York, NY, United States.
Jean-Louis G; Department of Population Health, Department of Psychiatry, NYU Langone Health, New York, NY, United States.

Front Neurol ; 9: 534, 2018.

Article en En | MEDLINE | ID: mdl-30072944

Palabras clave

machine learning; physical activity; sex; sleep duration; stroke

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

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