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cs.LG2022
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction
Ge Gao, Farzaneh Khoshnevisan, Min Chi
Real-world Electronic Health Records (EHRs) are often plagued by a high rate of missing data. In our EHRs, for example, the missing rates can be as high as 90% for some features, w…
cs.CL2022★ 1 cited
Making a (Counterfactual) Difference One Rationale at a Time
Mitchell Plyler, Michael Green, Min Chi
Rationales, snippets of extracted text that explain an inference, have emerged as a popular framework for interpretable natural language processing (NLP). Rationale models typicall…