Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance.

Hong, Chuan; Liu, Molei; Wojdyla, Daniel M; Hickey, Jimmy; Pencina, Michael; Henao, Ricardo

Hong, Chuan; Liu, Molei; Wojdyla, Daniel M; Hickey, Jimmy; Pencina, Michael; Henao, Ricardo.

Afiliación

Hong C; Duke University, Department of Biostatistics and Bioinformatics, Durham, NC, USA; Duke Clinical Research Institute, Durham, NC, USA. Electronic address: Chuan.Hong@duke.edu.
Liu M; Columbia University, Department of Biostatistics, New York, NY, USA.
Wojdyla DM; Duke Clinical Research Institute, Durham, NC, USA.
Hickey J; North Carolina State University, Department of Statistics, Raleigh, NC, USA.
Pencina M; Duke University, Department of Biostatistics and Bioinformatics, Durham, NC, USA; Duke Clinical Research Institute, Durham, NC, USA.
Henao R; Duke University, Department of Biostatistics and Bioinformatics, Durham, NC, USA; Duke Clinical Research Institute, Durham, NC, USA.

J Biomed Inform ; 149: 104532, 2024 Jan.

Article en En | MEDLINE | ID: mdl-38070817

Asunto(s)

Algoritmos; Investigación Biomédica; Humanos; Estudios de Cohortes; Aprendizaje Automático; Demografía

Palabras clave

Class imbalance; Demographic disparity; Federated learning; Model fairness; Predictive modeling; Transfer learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Investigación Biomédica Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article

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