39 citations · 53 across the 8 of their papers we have counts for
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cs.LG2021★ 2 cited
BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark
Anand Avati, Martin Seneviratne, Emily Xue +3
Machine learning has recently demonstrated impressive progress in predictive accuracy across a wide array of tasks. Most ML approaches focus on generalization performance on unseen…
cs.LG2021★ 3 cited
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
Zhen Xu, David R. So, Andrew M. Dai
One important challenge of applying deep learning to electronic health records (EHR) is the complexity of their multimodal structure. EHR usually contains a mixture of structured (…