60 citations · 69 across the 2 of their papers we have counts for
3 papers
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…
cs.CL2020★ 60 cited
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie +2
Deep learning (DL) based predictive models from electronic health records (EHR) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often re…
cs.IR2018
ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du, Qingyu Chen, Yifan Peng +3
In multi-label text classification, each textual document can be assigned with one or more labels. Due to this nature, the multi-label text classification task is often considered…