Yonghui Wu

发表

Linking Biochemical Pathways and Networks to Adverse Drug Reactions

Zhongming Zhao, Huiru Zheng, Haiying Wang, 2014, IEEE Transactions on NanoBioscience.

A new clustering method for detecting rare senses of abbreviations in clinical notes

Carol Friedman, Hua Xu, Peter D. Stetson, 2012, J. Biomed. Informatics.

Recognizing and Encoding Discorder Concepts in Clinical Text using Machine Learning and Vector Space Model

Hua Xu, Yonghui Wu, Joshua C. Denny, 2013, CLEF.

An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies

Jing Huang, Rui Duan, Yong Chen, 2016, AMIA.

Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features

Hua Xu, Yonghui Wu, Min Jiang, 2013, BMC Medical Informatics and Decision Making.

Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials

Yi Guo, Yonghui Wu, Xing He, 2018, AMIA.

PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data

Jing Huang, Rui Duan, Yong Chen, 2017, J. Am. Medical Informatics Assoc..

Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data

Yi Guo, Xi Yang, Yonghui Wu, 2018, 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W).

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

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

Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning

Hui Chen, Yaoyun Zhang, Jun Xu, 2016, Database J. Biol. Databases Curation.

Deciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Action

Hua Xu, Peilin Jia, Zhongming Zhao, 2015, PLoS Comput. Biol..

UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes

Yaoyun Zhang, Jun Xu, Jingqi Wang, 2016, *SEMEVAL.

Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data

Yonghui Wu, Jiang Bian, Yi Guo, 2020, J. Am. Medical Informatics Assoc..

International Classification of Diseases, Tenth Revision, Clinical Modification social determinants of health codes are poorly used in electronic health records

Yonghui Wu, W. Hogan, Yi Guo, 2020, Medicine.

Comorbidity in Adult Patients Hospitalized with Type 2 Diabetes in Northeast China: An Analysis of Hospital Discharge Data from 2002 to 2013

Yonghui Wu, Hua Xu, Yaoyun Zhang, 2016, BioMed research international.

Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge.

Olivia R. Zhang, Yonghui Wu, Kirk Roberts, 2017, Journal of biomedical informatics.

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Yonghui Wu, Hansi Zhang, Xing He, 2020, JMIR medical informatics.

Mining Twitter to Assess the Determinants of Health Behavior towards Palliative Care in the United States.

Yonghui Wu, Hansi Zhang, Yi Guo, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis

Rae Woong Park, D. Madigan, M. Suchard, 2020, Scientific Reports.

Discovery of Noncancer Drug Effects on Survival in Electronic Health Records of Patients With Cancer: A New Paradigm for Drug Repurposing

Xianglin L. Du, Yonghui Wu, Hongfang Liu, 2019, JCO clinical cancer informatics.

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

Jeremy C. Weiss, Hao Helen Zhang, Yonghui Wu, 2019, JAMA network open.

Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin

George Hripcsak, Patrick B. Ryan, Kipp W. Johnson, 2018, JAMA network open.

Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network

George Hripcsak, Patrick B. Ryan, Jon D. Duke, 2017, Epilepsia.

Development of a Unified Computable Problem-Medication Knowledge base

Adam Wright, Hua Xu, Yonghui Wu, 2014, AMIA.

Building a Large Clinical Abbreviation Sense Inventory from Discharge Summaries

Hua Xu, Randolph A. Miller, Yonghui Wu, 2013, AMIA.

Evaluating Word Embeddings from Multiple Domains for Symptom Recognition in Psychiatric Notes

Yaoyun Zhang, Hua Xu, Yonghui Wu, 2017, AMIA.

Detecting Contradictory and Consistent Citations in Biomedical Literature

Yaoyun Zhang, Jun Xu, Hua Xu, 2017, AMIA.

CLAMP - A User-Centric Clinical Natural Language Processing Toolkit

Jingqi Wang, Ergin Soysal, Hua Xu, 2017, AMIA.

Clinical Language Annotation, Modeling, and Processing Toolkit (CLAMP) - a user-centric NLP system

Jingqi Wang, Ergin Soysal, Hua Xu, 2015, AMIA.

Detecting Body Location Modifiers of Disorders in Clinical Texts via Sequence Labeling

Yaoyun Zhang, Jun Xu, Hua Xu, 2017, AMIA.

What Can Neural Networks Learn from Unlabeled Clinical Narratives?

Yaoyun Zhang, Jun Xu, Hua Xu, 2016, AMIA.

MedEx-UIMA - An Open-Source System for Medication Information Extraction from Clinical Text

Hua Xu, Yonghui Wu, Joshua C. Denny, 2012, AMIA.

Assessing mental health signals among sexual and gender minorities using Twitter data

Yonghui Wu, Xing He, Yi Guo, 2019, Health Informatics J..

Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach

Yonghui Wu, Mattia Prosperi, Zhaoyi Chen, 2020, Int. J. Medical Informatics.

Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods

Yonghui Wu, W. Hogan, Xi Yang, 2019, AMIA.

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

Hua Xu, Mei Liu, Zhongming Zhao, 2012, J. Am. Medical Informatics Assoc..

Identifying the status of genetic lesions in cancer clinical trial documents using machine learning

Buzhou Tang, Mia A Levy, Michael J. Cantrell, 2012, BMC Genomics.

Prediction of human population responses to toxic compounds by a collaborative competition

Karsten M. Borgwardt, Ana L. Teixeira, Eleni G. Christodoulou, 2015, Nature Biotechnology.

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models (Preprint)

Yonghui Wu, Hansi Zhang, Xing He, 2020 .

A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set

Fei Wang, Xin Geng, Hua Xu, 2018, J. Biomed. Informatics.

Extracting social determinants of health from electronic health records using natural language processing: a systematic review

Braja Gopal Patra, Jiang Bian, Jyotishman Pathak, 2021, J. Am. Medical Informatics Assoc..

Clinical Named Entity Recognition Using Deep Learning Models

Jun Xu, Hua Xu, Yonghui Wu, 2017, AMIA.

Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis

D. Madigan, M. Suchard, Yonghui Wu, 2020, Scientific Reports.

Ranking Gene-Drug Relationships in Biomedical Literature Using Latent Dirichlet Allocation

Hua Xu, W. Jim Zheng, Mei Liu, 2011, Pacific Symposium on Biocomputing.

Extracting and standardizing medication information in clinical text – the MedEx-UIMA system

Joshua C. Denny, Hua Xu, Min Jiang, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

CD-REST: a system for extracting chemical-induced disease relation in literature

Yaoyun Zhang, Jun Xu, Jingqi Wang, 2016, Database J. Biol. Databases Curation.

Analyzing Differences between Chinese and English Clinical Text: A Cross-Institution Comparison of Discharge Summaries in Two Languages

Kai Zheng, Hua Xu, Randolph A. Miller, 2016, MedInfo.

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting

Xi Yang, Yonghui Wu, Jiang Bian, 2019, J. Am. Medical Informatics Assoc..

Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network

Hua Xu, Yonghui Wu, Min Jiang, 2015, MedInfo.

UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text

Yaoyun Zhang, Jingqi Wang, Hua Xu, 2014, *SEMEVAL.

Domain Adaptation for Semantic Role Labeling of Clinical Text

Yaoyun Zhang, Jingqi Wang, Hua Xu, 2015, AMIA.

CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines

Hongfang Liu, Jingqi Wang, Ergin Soysal, 2017, J. Am. Medical Informatics Assoc..

Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models

Yonghui Wu, Jiang Bian, Hansi Zhang, 2020, JMIR medical informatics.

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models pdf

Jiang Bian, Jyotishman Pathak, William R. Hogan, 2021, AMIA.

Clinical concept extraction using transformers

Yonghui Wu, Jiang Bian, Xi Yang, 2020, J. Am. Medical Informatics Assoc..

MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes

Yonghui Wu, W. Hogan, J. Bian, 2019, Drug Safety.

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias

Yonghui Wu, M. Farrer, S. DeKosky, 2022, Int. J. Medical Informatics.

A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives

Yonghui Wu, Yi Guo, J. Bian, 2020, 2020 IEEE International Conference on Healthcare Informatics (ICHI).

Citation Sentiment Analysis in Clinical Trial Papers

Yaoyun Zhang, Jun Xu, Jingqi Wang, 2015, AMIA.

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

Jeremy C. Weiss, Hao Helen Zhang, Yonghui Wu, 2019, JAMA network open.

A hybrid system for temporal information extraction from clinical text

Hua Xu, Yonghui Wu, Joshua C. Denny, 2013, J. Am. Medical Informatics Assoc..

Comparing Cancer Information Needs for Consumers in the US and China

Yaoyun Zhang, Jun Xu, Hua Xu, 2017, MedInfo.

Clinical Acronym/Abbreviation Normalization using a Hybrid Approach

Hua Xu, Yonghui Wu, Joshua C. Denny, 2013, CLEF.

A comparative study of current clinical natural language processing systems on handling abbreviations in discharge summaries

Hua Xu, Randolph A. Miller, Yonghui Wu, 2012, AMIA.

A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)

Jun Xu, Ergin Soysal, Hua Xu, 2017, J. Am. Medical Informatics Assoc..

Recognizing Disjoint Clinical Concepts in Clinical Text Using Machine Learning-based Methods

Xiaolong Wang, Yaoyun Zhang, Jingqi Wang, 2015, AMIA.

Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods

Ruogu Fang, Yinghan Ma, Xi Yang, 2021, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).

Transformer-based named entity recognition for parsing clinical trial eligibility criteria

Jiang Bian, Yi Guo, Xi Yang, 2021, BCB.

A study of deep learning methods for de-identification of clinical notes in cross-institute settings

Xi Yang, Yonghui Wu, Jiang Bian, 2019, BMC Medical Informatics and Decision Making.

Clinical Abbreviation Disambiguation Using Neural Word Embeddings

Yaoyun Zhang, Jun Xu, Hua Xu, 2015, BioNLP@IJCNLP.

Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches

Xin Zhang, Li Wang, Yaoyun Zhang, 2018, Int. J. Medical Informatics.

A comparative study of different methods for automatic identification of clopidogrel-induced bleedings in electronic health records

Hua Xu, Yonghui Wu, Joshua C. Denny, 2017, CRI.

A hybrid approach to automatic de-identification of psychiatric notes.

Yaoyun Zhang, Hua Xu, Yonghui Wu, 2017, Journal of biomedical informatics.

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Yonghui Wu, Hansi Zhang, Xing He, 2020, JMIR medical informatics.

Clinical Relation Extraction Using Transformer-based Models pdf

Jiang Bian, Yi Guo, Xi Yang, 2021, ArXiv.

Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition

Xi Yang, Yonghui Wu, Yi Guo, 2018, AMIA.

Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov

Yaoyun Zhang, Hua Xu, Trevor Cohen, 2016, J. Am. Medical Informatics Assoc..

DTome: a web-based tool for drug-target interactome construction

Hua Xu, Zhongming Zhao, Yonghui Wu, 2012, BMC Bioinformatics.

Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods

Yonghui Wu, J. Brito, Elio Monsour, 2023, ArXiv.

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text

Yang Xiang, Zhiheng Li, Yaoyun Zhang, 2019, BMC Medical Informatics and Decision Making.

A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text

Yaoyun Zhang, Jun Xu, Hua Xu, 2015, AMIA.

UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14

Yaoyun Zhang, Jun Xu, Jingqi Wang, 2015, *SEMEVAL.

A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature

Xiaolong Wang, Yaoyun Zhang, Jingqi Wang, 2015, Journal of Cheminformatics.

Clinical entity recognition using structural support vector machines with rich features

Hua Xu, Yonghui Wu, Buzhou Tang, 2012, DTMBIO '12.

Detecting abbreviations in discharge summaries using machine learning methods.

Hua Xu, Yonghui Wu, Joshua C Denny, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

A comparative study of different methods for automatic identification of clopidogrel-induced bleedings in electronic health records

Yonghui Wu, D. Roden, J. Denny, 2017, CRI.

Beyond the Flowsheet: A Text Mining Study of Hospital-Acquired Falls (Preprint)

David S. Lindberg, Ragnhildur I. Bjarnadottir, Yonghui Wu, 2021 .

Me-LLaMA: Foundation Large Language Models for Medical Applications

Yonghui Wu, V. Keloth, Yan Hu, 2024, Research square.