Generalizable Gated Recurrent Neural Network based model to predict COVID-19 patient outcomes on admission. - Laila Rasmy; Bijun S. Kannadath; Masayuki Nigo; Ziqian Xie; Bingyu Mao; Khush A. Patel; Yujia Zhou 003; Xiao Dong; Hua Xu 001; Degui Zhi (AMIA, 2021)

CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing. - Laila Rasmy; Masayuki Nigo; Bijun S. Kannadath; Ziqian Xie; Bingyu Mao; Khush A. Patel; Wanheng Zhang; Yujia Zhou 003; Angela Ross; Hua Xu 001; Degui Zhi (AMIA, 2021)

PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data. - Masayuki Nigo; Hong Thoai Nga Tran; Ziqian Xie; Han Feng; Bingyu Mao; Laila Rasmy; Hongyu Miao 001; Degui Zhi (J. Biomed. Informatics, 2022)

A Deep-Learning-based Two-Compartment Predictive Model (PKRNN-2CM) for Vancomycin Therapeutic Drug Monitoring. - Bingyu Mao; Ziqian Xie; Laila Rasmy; Masayuki Nigo; Degui Zhi (ICHI, 2023)