60 citations · 70 across the 6 of their papers we have counts for
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cs.LG2023
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data
Shenghan Zhang, Haoxuan Li, Ruixiang Tang +5
Detailed phenotype information is fundamental to accurate diagnosis and risk estimation of diseases. As a rich source of phenotype information, electronic health records (EHRs) pro…
cs.LG2021★ 9 cited
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data
Laila Rasmy, Jie Zhu, Zhiheng Li +7
Recently, there is great interest to investigate the application of deep learning models for the prediction of clinical events using electronic health records (EHR) data. In EHR da…