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ORCIDLaila Rasmy
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2020 – today
- 2023
[c7]Shenghan Zhang
, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu:
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI 2023: 268-275- [c6]Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi:
A Deep-Learning-based Two-Compartment Predictive Model (PKRNN-2CM) for Vancomycin Therapeutic Drug Monitoring. ICHI 2023: 484 - [c5]Laila Rasmy, Ziqian Xie, Degui Zhi:
Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR - Hands-on Tutorial on N3C. ICHI 2023: 529-530 - [i4]Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu:
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR abs/2303.10794 (2023) - 2022
- [j6]Masayuki Nigo, Hong Thoai Nga Tran, Ziqian Xie, Han Feng, Bingyu Mao, Laila Rasmy, Hongyu Miao, Degui Zhi:
PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data. J. Biomed. Informatics 133: 104166 (2022) - [c4]Laila Rasmy, Peter Beshara, Bijun S. Kannadath, Degui Zhi:
Pancreatic cancer risk prediction using recurrent neural network models trained on electronic health records and claims data. AMIA 2022 - [c3]Angela Ross, Laila Rasmy, Degui Zhi, Kathleen McGrow:
Explainability versus Accuracy to Engender Trust. AMIA 2022 - 2021
- [j5]Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi:
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. npj Digit. Medicine 4 (2021) - [j4]Laila Rasmy, Imane Sebari, Mohamed Ettarid:
Automatic Sub-Pixel Co-Registration of Remote Sensing Images Using Phase Correlation and Harris Detector. Remote. Sens. 13(12): 2314 (2021) - [c2]Laila Rasmy, Bijun S. Kannadath, Masayuki Nigo, Ziqian Xie, Bingyu Mao, Khush A. Patel, Yujia Zhou, Xiao Dong, Hua Xu, Degui Zhi:
Generalizable Gated Recurrent Neural Network based model to predict COVID-19 patient outcomes on admission. AMIA 2021 - [c1]Laila Rasmy, Masayuki Nigo, Bijun S. Kannadath, Ziqian Xie, Bingyu Mao, Khush A. Patel, Wanheng Zhang, Yujia Zhou, Angela Ross, Hua Xu, Degui Zhi:
CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing. AMIA 2021 - [i3]Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi:
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data. CoRR abs/2110.00998 (2021) - [i2]Niloofar Shahidi, Xuanzhi Lin, Yuda Munarko, Laila Rasmy, Tram Ngo:
AQUA: an Advanced QUery Architecture for the SPARC Portal. F1000Research 10: 930 (2021) - 2020
- [j3]Laila Rasmy, Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao, Hua Xu, Degui Zhi:
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies. J. Am. Medical Informatics Assoc. 27(10): 1593-1599 (2020) - [i1]Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi:
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction. CoRR abs/2005.12833 (2020)
2010 – 2019
- 2019
- [j2]Yang Xiang, Jun Xu, Yuqi Si, Zhiheng Li, Laila Rasmy, Yujia Zhou, Firat Tiryaki, Fang Li, Yaoyun Zhang, Yonghui Wu, Xiaoqian Jiang, W. Jim Zheng, Degui Zhi, Cui Tao, Hua Xu:
Time-sensitive clinical concept embeddings learned from large electronic health records. BMC Medical Informatics Decis. Mak. 19-S(2): 139-148 (2019) - 2018
- [j1]Laila Rasmy, Yonghui Wu, Ningtao Wang, Xin Geng, W. Jim Zheng, Fei Wang, Hulin Wu, Hua Xu, Degui Zhi:
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set. J. Biomed. Informatics 84: 11-16 (2018)
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