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Laila 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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last updated on 2024-07-30 21:38 CEST by the dblp team
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