13 citations · 19 across the 6 of their papers we have counts for
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cs.LG2024
Dataset Representativeness and Downstream Task Fairness
Victor Borza, Andrew Estornell, Chien-Ju Ho +2
Our society collects data on people for a wide range of applications, from building a census for policy evaluation to running meaningful clinical trials. To collect data, we typica…
cs.LG2023★ 6 cited
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Zhuohang Li, Chao Yan, Xinmeng Zhang +4
Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generali…
cs.LG2022
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database
Steve Nyemba, Chao Yan, Ziqi Zhang +4
Artificial intelligence, and particularly machine learning (ML), is increasingly developed and deployed to support healthcare in a variety of settings. However, clinical decision s…