| Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi NPJ digital medicine 4 (1), 86, 2021 | 472 | 2021 |
| A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set L Rasmy, Y Wu, N Wang, X Geng, WJ Zheng, F Wang, H Wu, H Xu, D Zhi Journal of biomedical informatics 84, 11-16, 2018 | 126 | 2018 |
| Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health … L Rasmy, M Nigo, BS Kannadath, Z Xie, B Mao, K Patel, Y Zhou, W Zhang, ... The Lancet Digital Health 4 (6), e415-e425, 2022 | 45 | 2022 |
| Asthma exacerbation prediction and risk factor analysis based on a time-sensitive, attentive neural network: retrospective cohort study Y Xiang, H Ji, Y Zhou, F Li, J Du, L Rasmy, S Wu, WJ Zheng, H Xu, D Zhi, ... Journal of medical Internet research 22 (7), e16981, 2020 | 40 | 2020 |
| Time-sensitive clinical concept embeddings learned from large electronic health records Y Xiang, J Xu, Y Si, Z Li, L Rasmy, Y Zhou, F Tiryaki, F Li, Y Zhang, Y Wu, ... BMC medical informatics and decision making 19, 139-148, 2019 | 31 | 2019 |
| Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies L Rasmy, F Tiryaki, Y Zhou, Y Xiang, C Tao, H Xu, D Zhi Journal of the American Medical Informatics Association 27 (10), 1593-1599, 2020 | 26 | 2020 |
| pretrained contextualized embeddings on largescale structured electronic health records for disease prediction. npj Digital Medicine. 2021; 4 (1): 1–13 L Rasmy, Y Xiang, Z Xie, C Tao, DMB Zhi | 22 | |
| Vasopressor treatment and mortality following nontraumatic subarachnoid hemorrhage: a nationwide electronic health record analysis G Williams, V Maroufy, L Rasmy, D Brown, D Yu, H Zhu, Y Talebi, X Wang, ... Neurosurgical Focus 48 (5), E4, 2020 | 14 | 2020 |
| Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data L Rasmy, J Zhu, Z Li, X Hao, HT Tran, Y Zhou, F Tiryaki, Y Xiang, H Xu, ... arXiv preprint arXiv:2110.00998, 2021 | 11 | 2021 |
| 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 133, 104166, 2022 | 10 | 2022 |
| Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction, NPJ Digital Medicine 4 (1)(2021) 1–13 L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi URL https://doi. org/10.1038/s41746-021-00455-y, 2021 | 7 | 2021 |
| Real World Long-term Assessment of The Efficacy of Tocilizumab in Patients with COVID-19: Results From A Large De-identified Multicenter Electronic Health Record Dataset in the … M Nigo, L Rasmy, SB May, A Rao, S Karimaghaei, BS Kannadath, ... International Journal of Infectious Diseases 113, 148-154, 2021 | 3 | 2021 |
| PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data S Zhang, H Li, R Tang, S Ding, L Rasmy, D Zhi, N Zou, X Hu 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | 2 | 2023 |
| AI-aided dynamic prediction of bleeding and ischemic risk after coronary stenting and subsequent DAPT F Li, L Rasmy, Y Xiang, J Feng, J Du, D Aguilar, A Dhoble, Q Wang, S Niu, ... medRxiv, 2022.02. 05.22270508, 2022 | 2 | 2022 |
| AQUA: An Advanced QUery Architecture for the SPARC Portal N Shahidi, X Lin, Y Munarko, L Rasmy, T Ngo F1000Research 10, 930, 2021 | 1 | 2021 |
| Foundation Models, Generative AI, and Large Language Models: Essentials for Nursing A Ross, K McGrow, D Zhi, L Rasmy CIN: Computers, Informatics, Nursing 42 (5), 377-387, 2024 | | 2024 |
| 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 15 (1), 2036, 2024 | | 2024 |
| Dynamic Prognosis Prediction for Patients on DAPT After Drug‐Eluting Stent Implantation: Model Development and Validation F Li, L Rasmy, Y Xiang, J Feng, A Abdelhameed, X Hu, Z Sun, D Aguilar, ... Journal of the American Heart Association 13 (3), e029900, 2024 | | 2024 |
| 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 …, 2023 | | 2023 |
| Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR–Hands-on Tutorial on N3C L Rasmy, Z Xie, D Zhi 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | | 2023 |
