Yujia Zhou

According to our database, Yujia Zhou authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions.

Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker

J. Am. Medical Informatics Assoc., 2023

Zero-shot Clinical Entity Recognition using ChatGPT.

Yan Hu, Iqra Ameer, Xu Zuo, Xueqing Peng, Yujia Zhou, Zehan Li, Yiming Li, Jianfu Li, Xiaoqian Jiang, Hua Xu

CoRR, 2023

2022

Fast Textual Corpus Retrieval from Electronic Health Records using PDF Parser and TxtSplit Tools.

Yiming Li, Qiang Wei, Yujia Zhou, Hua Xu

Proceedings of the AMIA 2022, 2022

2021

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model.

Jingqi Wang, Noor Abu-El-Rub, Josh Gray, Huy Anh Pham, Yujia Zhou, Frank J. Manion, Mei Liu, Xing Song, Hua Xu, Masoud Rouhizadeh, Yaoyun Zhang

J. Am. Medical Informatics Assoc., 2021

Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition.

Jianfu Li, Yujia Zhou, Xiaoqian Jiang, Karthik Natarajan, Serguei V. S. Pakhomov, Hongfang Liu, Hua Xu

J. Am. Medical Informatics Assoc., 2021

Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data.

Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi

CoRR, 2021

CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing.

Laila Rasmy, Masayuki Nigo, Bijun S. Kannadath, Ziqian Xie, Bingyu Mao, Khush A. Patel, Wanheng Zhang, Yujia Zhou, Angela Ross, Hua Xu, Degui Zhi

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Generalizable Gated Recurrent Neural Network based model to predict COVID-19 patient outcomes on admission.

Laila Rasmy, Bijun S. Kannadath, Masayuki Nigo, Ziqian Xie, Bingyu Mao, Khush A. Patel, Yujia Zhou, Xiao Dong, Hua Xu, Degui Zhi

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies.

Laila Rasmy, Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao, Hua Xu, Degui Zhi

J. Am. Medical Informatics Assoc., 2020

Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles.

Qiang Wei, Yujia Zhou, Bo Zhao, Xinyue Hu, Qiaozhu Mei, Cui Tao, Hua Xu

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.

Xu Zuo, Jianfu Li, Bo Zhao, Yujia Zhou, Xiao Dong, Jon D. Duke, Karthik Natarajan, George Hripcsak, Nigam Shah, Juan M. Banda, Ruth M. Reeves, Hua Xu

Proceedings of the AMIA 2020, 2020

2019

Time-sensitive clinical concept embeddings learned from large electronic health records.

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

BMC Medical Informatics Decis. Mak., 2019