Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning.

Benedum, Corey M; Sondhi, Arjun; Fidyk, Erin; Cohen, Aaron B; Nemeth, Sheila; Adamson, Blythe; Estévez, Melissa; Bozkurt, Selen

Benedum, Corey M; Sondhi, Arjun; Fidyk, Erin; Cohen, Aaron B; Nemeth, Sheila; Adamson, Blythe; Estévez, Melissa; Bozkurt, Selen.

Afiliación

Benedum CM; Flatiron Health, Inc., 233 Spring Street, New York, NY 10003, USA.
Sondhi A; Flatiron Health, Inc., 233 Spring Street, New York, NY 10003, USA.
Fidyk E; Flatiron Health, Inc., 233 Spring Street, New York, NY 10003, USA.
Cohen AB; Flatiron Health, Inc., 233 Spring Street, New York, NY 10003, USA.
Nemeth S; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.
Adamson B; Flatiron Health, Inc., 233 Spring Street, New York, NY 10003, USA.
Estévez M; Flatiron Health, Inc., 233 Spring Street, New York, NY 10003, USA.
Bozkurt S; Comparative Health Outcomes, Policy and Economics (CHOICE) Institute, University of Washington, Seattle, WA 98195, USA.

Cancers (Basel) ; 15(6)2023 Mar 20.

Article en En | MEDLINE | ID: mdl-36980739

Palabras clave

artificial intelligence; cancer; electronic health records; machine learning; natural language processing; oncology; quality; real-world data; real-world evidence

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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