Yujia Zhou

发表

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

Yang Xiang, Cui Tao, Zhiheng Li, 2019, BMC Medical Informatics and Decision Making.

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study

Hua Xu, Yang Xiang, L. Rasmy, 2019, Journal of medical Internet research.

Causal Discovery in Radiographic Markers of Knee Osteoarthritis and Prediction for Knee Osteoarthritis Severity With Attention–Long Short-Term Memory

Xiaobo Zhou, Yujia Zhou, Weiling Zhao, 2020, Frontiers in Public Health.

Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data

L. Rasmy, Yujia Zhou, D. Zhi, 2022, The Lancet Digital Health.

Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database

X. Shu, Hua Xu, D. Aronoff, 2021, medRxiv.

Asthma Exacerbation Prediction and Interpretation based on Time-sensitive Attentive Neural Network: A Retrospective Cohort Study

Hua Xu, Yang Xiang, Yujia Zhou, 2019 .

Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database

X. Shu, D. Aronoff, E. Bernstam, 2021, medRxiv.

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

Hua Xu, N. Shah, G. Hripcsak, 2020, AMIA.

Incidences and risk factors of serious infections among different rheumatic patients: a retrospective cohort study

Hua Xu, Yang Xiang, Yujia Zhou, 2020 .

DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Md Nazmul Islam, Andrew E. Williams, D. Asch, 2022, Nature Communications.

Zero-shot Clinical Entity Recognition using ChatGPT

Yujia Zhou, Xueqing Peng, Iqra Ameer, 2023, 2303.16416.

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

Yaoyun Zhang, Masoud Rouhizadeh, Huy Anh Pham, 2021, J. Am. Medical Informatics Assoc..

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

Yang Xiang, Hua Xu, Degui Zhi, 2020, J. Am. Medical Informatics Assoc..

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study (Preprint)

Yang Xiang, L. Rasmy, Yujia Zhou, 2019 .

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

Serguei V. S. Pakhomov, Hongfang Liu, Xiaoqian Jiang, 2021, J. Am. Medical Informatics Assoc..

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

Laila Rasmy, Firat Tiryaki, Hua Xu, 2021, ArXiv.

Zero-shot Clinical Entity Recognition using ChatGPT

Yiming Li, Yujia Zhou, Xueqing Peng, 2023, ArXiv.

Nonselective beta‐blockers are associated with a lower risk of hepatocellular carcinoma among cirrhotic patients in the United States

Huy Anh Pham, Yang Xiang, Yujia Zhou, 2021, Alimentary pharmacology & therapeutics.

Improving large language models for clinical named entity recognition via prompt engineering.

Yiming Li, Yujia Zhou, Xueqing Peng, 2023, JAMIA Journal of the American Medical Informatics Association.

Dynamic Prognosis Prediction for Patients on DAPT After Drug-Eluting Stent Implantation: Model Development and Validation.

L. Rasmy, Yujia Zhou, Fang Li, 2024, Journal of the American Heart Association.

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records

Yujia Zhou, Liang Li, Zhao Li, 2023, medRxiv.