Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance
Hong, C., Liu, M., Wojdyla, D. M., Hickey, J., Pencina, M., & Henao, R. (2023, December 7). Journal of Biomedical Informatics.
author keywords: Class imbalance; Demographic disparity; Federated learning; Model fairness; Predictive modeling; Transfer learning
MeSH headings : Humans; Cohort Studies; Algorithms; Machine Learning; Biomedical Research; Demography
topics (OpenAlex): Imbalanced Data Classification Techniques; Artificial Intelligence in Healthcare; Machine Learning in Healthcare
TL;DR:
The findings indicate that the Trans-Balance approach significantly improves predictive performance, especially in scenarios marked by severe class imbalance and demographic disparity, especially in scenarios marked by severe class imbalance.
(via
Semantic Scholar)
UN Sustainable Development Goal Categories