Publications

Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records
M Nigo, L Rasmy, B Mao, BS Kannadath, Z Xie, D Zhi
Nature Communications, Mar 2024

PK-RNN-V E: A Deep Learning Model Approach to Vancomycin Therapeutic Drug Monitoring Using Electronic Health Record Data
M Nigo, HTN Tran, Z Xie, H Feng, B Mao, L Rasmy, H Miao, D Zhi
Journal of Biomedical Informatics, Aug 2022

Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
L Rasmy, M Nigo, BS Kannadath, Z Xie, B Mao, K Patel, Y Zhou, W Zhang, A Ross, H Xu, D Zhi
The Lancet Digital Health, Apr 2022

A deep-learning-based two-compartment predictive model (PKRNN-2CM) for vancomycin therapeutic drug monitoring
B Mao, Z Xie, L Rasmy, M Nigo, D Zhi
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), Houston, TX

Med-BERT v2: clinical foundation model on standardized secondary clinical data
L Rasmy, Y Chu, B Mao, K Patel, Z Li, H Yan, Z Xie, W Zheng, H Xu, D Zhi
Machine Learning For Healthcare 2022, Durham, NC

Technical Performance Evaluation of a Deep Learning-based Vancomycin Therapeutic Drug Monitoring Model
B Mao, M Nigo, HTN Tran, Z Xie, H Feng, L Rasmy, H Miao, D Zhi
AMIA 2022 Informatics Summit, Chicago, IL

A multi-aspect technical performance evaluation of deep learning based models for predicting COVID-19 patients outcomes on admission
L Rasmy, M Nigo, BS Kannadath, Z Xie, B Mao, A Ross, H Xu, D Zhi
AMIA 2022 Informatics Summit, Chicago, IL