Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework.

Estevez, Melissa; Benedum, Corey M; Jiang, Chengsheng; Cohen, Aaron B; Phadke, Sharang; Sarkar, Somnath; Bozkurt, Selen

Estevez, Melissa; Benedum, Corey M; Jiang, Chengsheng; Cohen, Aaron B; Phadke, Sharang; Sarkar, Somnath; Bozkurt, Selen.

Afiliação

Estevez M; Flatiron Health, Inc., 233 Spring Street, New York, NY 10013, USA.
Benedum CM; Flatiron Health, Inc., 233 Spring Street, New York, NY 10013, USA.
Jiang C; Flatiron Health, Inc., 233 Spring Street, New York, NY 10013, USA.
Cohen AB; Flatiron Health, Inc., 233 Spring Street, New York, NY 10013, USA.
Phadke S; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.
Sarkar S; Flatiron Health, Inc., 233 Spring Street, New York, NY 10013, USA.
Bozkurt S; Flatiron Health, Inc., 233 Spring Street, New York, NY 10013, USA.

Cancers (Basel) ; 14(13)2022 Jun 22.

Article em En | MEDLINE | ID: mdl-35804834

Palavras-chave

artificial intelligence; deep learning; machine learning; oncology; personalized medicine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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