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Health Outcomes & Biomedical Informatics

College of Medicine

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Yonghui Wu

Yonghui Wu

AST PROF

Department: MD-HOBI-BIOMED INFORMATICS
Business Phone: (352) 294-8436
Business Email: yonghui.wu@ufl.edu
CV: View Curriculum Vitae

About Yonghui Wu

Dr. Wu is an Assistant Professor in the College of Medicine, Department of Health Outcomes & Biomedical Informatics at the University of Florida. Dr. Wu’s research interests include Natural Language Processing (NLP) and Machine Learning. He has published over 60 peer-reviewed papers and has been the principal investigator for a number of grants, including an NLP grant from Patient-Centered Outcomes Research Institute. His research has contributed substantially to clinical and biomedical NLP – including information extraction from clinical notes and biomedical literature, Word Sense Disambiguation (WSD) for ambiguous biomedical terms; predictive modeling for drug adverse reactions and drug new indications (known as drug repurposing); various applications to apply NLP and machine learning to solve clinical and translational problems.

Dr. Wu received his Ph.D. from the Harbin Institute of Technology, School of Computer Science with a focus on natural language processing. Then, he entered medical informatics research with a motivation to help improve the quality of healthcare delivery and the safety of patients. He has Biomedical informatics training at Vanderbilt University (2010-2012) and then University of Texas Health Science Center at Houston (2012-2014).

Accomplishments

Top-ranked (#3) ”medications and adverse drug events concepts recognition” system
2018 · 2017 MADE challenge
Top-ranked (#2) ”end-to-end system” to identify medications, adverse druge events and their relations
2018 · 2018 N2C2 challenge
One of the best articles from the literature in the Natural Language Process- ing subfield of medical informatics
2017 · International Medical Informatics Association (IMIA)
Best performed ”chemical-induced disease relation extraction” system
2015 · 015 BioCreative V open challenge
Top-ranked (#1) clinical abbreviation disambiguation system
2014 · 2013 ShARe/CLEF eHealth Shared Tasks in Clinical NLP
Finalist of best paper award (Co-first author), AMIA Translational Bioinformat- ics Summit
2012 · AMIA
Top-ranked (#1) “temporal relation extraction” system
2012 · 2012 i2b2 Clinical NLP challenge

Grants

Sep 2020 ACTIVE
Using Real-world Data to Assess the Burden of Diabetes in Children and Adolescents in Florida
Role: Co-Investigator
Funding: CTRS FOR DISEASE CONTROL AND PREVENTION
Aug 2020 ACTIVE
The External Exposome and COVID-19 Severity
Role: Co-Investigator
Funding: NATL INST OF HLTH NIEHS
Aug 2020 ACTIVE
Using Electronic Health Records from a Large Clinical Data Research Network to Understand Cancer Burden and Cancer Risks Among Transgender and Gender Nonconforming (TGNC) Individuals
Role: Co-Investigator
Funding: NATL INST OF HLTH NCI
Jul 2020 ACTIVE
DRPD-ROF2020: Advancing Drug Repositioning for Alzheimers Disease using Electronic Health Records
Role: Principal Investigator
Funding: UF RESEARCH
Apr 2020 – Sep 2020
IBM Task Order – Development of New and Innovative Methods for Automated Reporting for CBER-Regulated Biological Products – FDA Task Order 2, Order # 75F40119F19002
Role: Co-Investigator
Funding: IBM CORP via US FOOD AND DRUG ADMN
Jan 2020 – Mar 2020
Data Science in Health Informatics Workshop with Deep Learning Winter 2020
Role: Co-Investigator
Funding: *NORTHEASTERN UNIVERSITY OF CHINA
Jan 2020 ACTIVE
Extracting information from clinical narratives for Clinical Outcomes Research
Role: Principal Investigator
Funding: PATIENT-CENTERED OUTCOMES RES INST
Jan 2020 ACTIVE
The benefits and harms of lung cancer screening in Florida
Role: Co-Investigator
Funding: NATL INST OF HLTH NCI
Apr 2019 ACTIVE
Advancing Interdisciplinary Science of Aging through Identification of Iatrogenic Complications: The UF EHR Clinical Data Infrastructure for Enhanced Patient Safety among the Elderly (UF-ECLIPSE)
Role: Co-Investigator
Funding: NATL INST OF HLTH NIA
Feb 2019 ACTIVE
Utilizing Data from the Electronic Medical Record to Predict Alzheimers and Dementia Risk
Role: Co-Investigator
Funding: FL DEPT OF HLTH ED ETHEL MOORE ALZHEIMER
Jan 2019 ACTIVE
Systematic Analysis of Clinical Study Generalizability Assessment Methods with Informatics
Role: Co-Investigator
Funding: FL STATE UNIV via NATL INST OF HLTH NIA

Education

Ph.D. in Computer Application Technology
2010 · Harbin Institute of Technology
M.S. in Computer Science and Technology
2005 · Harbin Institute of Technology
B.S. in Computer Science and Technology
2003 · Harbin University of Science and Technology

Teaching Profile

Courses Taught
2019-2021
GMS6803 Data Science for Clinical Research
2019-2021
GMS6856 Introduction to Biomedical Natural Language Processing

Contact Details

Phones:
Business:
(352) 294-8436
Emails:
Business:
yonghui.wu@ufl.edu