Laila Rasmy - RankMe

19 papers Misc 4Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on top of Med-BERT. CoRR Jianping He, Laila Rasmy, Degui Zhi, Cui Tao
2024	J	`jnl`	Prompting Large Language Models for Clinical Temporal Relation Extraction. CoRR Jianping He, Laila Rasmy, Haifang Li, Jianfu Li, Zenan Sun, Evan Yu, Degui Zhi, Cui Tao
2023	—	`conf`	A Deep-Learning-based Two-Compartment Predictive Model (PKRNN-2CM) for Vancomycin Therapeutic Drug Monitoring. ICHI Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi
2023	—	`conf`	PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023	J	`jnl`	PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023	—	`conf`	Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR - Hands-on Tutorial on N3C. ICHI Laila Rasmy, Ziqian Xie, Degui Zhi
2022	Misc	`conf`	Explainability versus Accuracy to Engender Trust. AMIA Angela Ross, Laila Rasmy, Degui Zhi, Kathleen McGrow
2022	J	`jnl`	PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data. J. Biomed. Informatics Masayuki Nigo, Hong Thoai Nga Tran, Ziqian Xie, Han Feng, Bingyu Mao, Laila Rasmy, Hongyu Miao, Degui Zhi
2022	Misc	`conf`	Pancreatic cancer risk prediction using recurrent neural network models trained on electronic health records and claims data. AMIA Laila Rasmy, Peter Beshara, Bijun S. Kannadath, Degui Zhi
2021	J	`jnl`	AQUA: an Advanced QUery Architecture for the SPARC Portal. F1000Research Niloofar Shahidi, Xuanzhi Lin, Yuda Munarko, Laila Rasmy, Tram Ngo
2021	J	`jnl`	Automatic Sub-Pixel Co-Registration of Remote Sensing Images Using Phase Correlation and Harris Detector. Remote. Sens. Laila Rasmy, Imane Sebari, Mohamed Ettarid
2021	Misc	`conf`	CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing. AMIA Laila Rasmy, Masayuki Nigo, Bijun S. Kannadath, Ziqian Xie, Bingyu Mao, Khush A. Patel, Wanheng Zhang, Yujia Zhou, Angela Ross, Hua Xu, Degui Zhi
2021	Misc	`conf`	Generalizable Gated Recurrent Neural Network based model to predict COVID-19 patient outcomes on admission. AMIA Laila Rasmy, Bijun S. Kannadath, Masayuki Nigo, Ziqian Xie, Bingyu Mao, Khush A. Patel, Yujia Zhou, Xiao Dong, Hua Xu, Degui Zhi
2021	J	`jnl`	Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. npj Digit. Medicine Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi
2021	J	`jnl`	Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data. CoRR Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi
2020	J	`jnl`	Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction. CoRR Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi
2020	J	`jnl`	Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies. J. Am. Medical Informatics Assoc. Laila Rasmy, Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao, Hua Xu, Degui Zhi
2019	J	`jnl`	Time-sensitive clinical concept embeddings learned from large electronic health records. BMC Medical Informatics Decis. Mak. 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
2018	J	`jnl`	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 Laila Rasmy, Yonghui Wu, Ningtao Wang, Xin Geng, W. Jim Zheng, Fei Wang, Hulin Wu, Hua Xu, Degui Zhi