22 citations · 30 across the 2 of their papers we have counts for
3 papers
stat.ML2022★ 8 cited
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
Mark Sendak, Gaurav Sirdeshmukh, Timothy Ochoa +20
The approaches by which the machine learning and clinical research communities utilize real world data (RWD), including data captured in the electronic health record (EHR), vary dr…
stat.ML2020
Variational Disentanglement for Rare Event Modeling
Zidi Xiu, Chenyang Tao, Michael Gao +3
Combining the increasing availability and abundance of healthcare data and the current advances in machine learning methods have created renewed opportunities to improve clinical d…
cs.CY2019★ 22 cited
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Mark Sendak, Madeleine Elish, Michael Gao +6
Machine learning technologies are increasingly developed for use in healthcare. While research communities have focused on creating state-of-the-art models, there has been less foc…