Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance-Reference-Cited by-同舟云学术

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

Published:2024-01 Issue: Volume:149 Page:104532
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

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

Funder

Boston University

National Heart, Lung, and Blood Institute

National Institute of Neurological Disorders and Stroke

National Institutes of Health

U.S. Department of Health and Human Services

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference31 articles.

1. Towards precision medicine;Ashley;Nature Rev. Genet.,2016

2. A survey of transfer learning;Weiss;J. Big data,2016

3. Beyond consent: building trusting relationships with diverse populations in precision medicine research;Kraft;Am. J. Bioethics,2018

4. Addressing bias in prediction models by improving subpopulation calibration;Barda;J. Am. Med. Inf. Assoc.,2021

5. Predictive accuracy of stroke risk prediction models across black and white race, sex, and age groups;Hong;JAMA,2023

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