Artificial Intelligence and Machine Learning Applied at the Point of Care.

Angehrn, Zuzanna; Haldna, Liina; Zandvliet, Anthe S; Gil Berglund, Eva; Zeeuw, Joost; Amzal, Billy; Cheung, S Y Amy; Polasek, Thomas M; Pfister, Marc; Kerbusch, Thomas; Heckman, Niedre M

Angehrn, Zuzanna; Haldna, Liina; Zandvliet, Anthe S; Gil Berglund, Eva; Zeeuw, Joost; Amzal, Billy; Cheung, S Y Amy; Polasek, Thomas M; Pfister, Marc; Kerbusch, Thomas; Heckman, Niedre M.

Afiliação

Angehrn Z; Certara, Princeton, NJ, United States.
Haldna L; Certara, Princeton, NJ, United States.
Zandvliet AS; Certara, Princeton, NJ, United States.
Gil Berglund E; Certara, Princeton, NJ, United States.
Zeeuw J; PacMed, Amsterdam, Netherlands.
Amzal B; Certara, Princeton, NJ, United States.
Cheung SYA; Certara, Princeton, NJ, United States.
Polasek TM; Certara, Princeton, NJ, United States.
Pfister M; Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, SA, Australia.
Kerbusch T; Centre for Medicines Use and Safety, Monash University, Melbourne, VIC, Australia.
Heckman NM; Certara, Princeton, NJ, United States.

Front Pharmacol ; 11: 759, 2020.

Article em En | MEDLINE | ID: mdl-32625083

Palavras-chave

Artificial Intelligence and Machine Learning in medical practice; chronic disease management; clinical decision support tools; model-informed precision dosing; precision dosing; real-world evidence; software as a medical device

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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