Quantifying representativeness in randomized clinical trials using machine learning fairness metrics.

Qi, Miao; Cahan, Owen; Foreman, Morgan A; Gruen, Daniel M; Das, Amar K; Bennett, Kristin P

Qi, Miao; Cahan, Owen; Foreman, Morgan A; Gruen, Daniel M; Das, Amar K; Bennett, Kristin P.

Afiliación

Qi M; Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York, USA.
Cahan O; Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, New York, USA.
Foreman MA; Center for Computational Health, IBM Research, Cambridge, Massachusetts, USA.
Gruen DM; Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, New York, USA.
Das AK; Center for Computational Health, IBM Research, Cambridge, Massachusetts, USA.
Bennett KP; Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York, USA.

JAMIA Open ; 4(3): ooab077, 2021 Jul.

Article en En | MEDLINE | ID: mdl-34568771

Palabras clave

health equity; machine learning; population representativeness; randomized clinical trials; subgroup

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: JAMIA Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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