3 papers
cs.LG2026
Imputation of Unknown Missingness in Sparse Electronic Health Records
Jun Han, Josue Nassar, Sanjit Singh Batra +3
Machine learning holds great promise for advancing the field of medicine, with electronic health records (EHRs) serving as a primary data source. However, EHRs are often sparse and…
cs.LG2025
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill, Brian L. Hill, Aria Masoomi +3
Sequential deep learning models excel in domains with temporal or sequential dependencies, but their complexity necessitates post-hoc feature attribution methods for understanding…
cs.CL2025
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao +4
Clinical diagnosis prediction models, when provided with a patient's medical history, aim to detect potential diseases early, facilitating timely intervention and improving prognos…