Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes: The 2019 Literature Year in Review.

Schultz, Mary Anne; Walden, Rachel Lane; Cato, Kenrick; Coviak, Cynthia Peltier; Cruz, Christopher; D'Agostino, Fabio; Douthit, Brian J; Forbes, Thompson; Gao, Grace; Lee, Mikyoung Angela; Lekan, Deborah; Wieben, Ann; Jeffery, Alvin D

Schultz, Mary Anne; Walden, Rachel Lane; Cato, Kenrick; Coviak, Cynthia Peltier; Cruz, Christopher; D'Agostino, Fabio; Douthit, Brian J; Forbes, Thompson; Gao, Grace; Lee, Mikyoung Angela; Lekan, Deborah; Wieben, Ann; Jeffery, Alvin D.

Afiliación

Schultz MA; Author Affiliations: California State University (Dr Schultz); Annette and Irwin Eskind Family Biomedical Library, Vanderbilt University (Ms Walden); Department of Emergency Medicine, Columbia University School of Nursing (Dr Cato); Grand Valley State University (Dr Coviak); Global Health Technology & Informatics, Chevron, San Ramon, CA (Mr Cruz); Saint Camillus International University of Health Sciences, Rome, Italy (Dr D'Agostino); Duke University School of Nursing (Mr Douthit); East Caro

Comput Inform Nurs ; 39(11): 654-667, 2021 May 06.

Article en En | MEDLINE | ID: mdl-34747890

Asunto(s)

Inteligencia Artificial; Ciencia de los Datos; Atención a la Salud; Humanos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Ciencia de los Datos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Inform Nurs Asunto de la revista: ENFERMAGEM / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article

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