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Health Outcomes & Biomedical Informatics

College of Medicine

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Yonghui Wu

Yonghui Wu

AST PROF

Department: MD-HOP 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).

Honors & Awards

Top-ranked (#2) ”end-to-end system” to identify medications, adverse druge events and their relations
2018 · 2018 N2C2 challenge
Top-ranked (#3) ”medications and adverse drug events concepts recognition” system
2018 · 2017 MADE 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
Top-ranked (#1) “temporal relation extraction” system
2012 · 2012 i2b2 Clinical NLP challenge
Finalist of best paper award (Co-first author), AMIA Translational Bioinformat- ics Summit
2012 · AMIA

Grants

January 2020 ACTIVE
Data Science in Health Informatics Workshop with Deep Learning Winter 2020
NORTHEASTERN UNIVERSITY OF CHINA ·
January 2020 ACTIVE
The benefits and harms of lung cancer screening in Florida
NATL INST OF HLTH NCI ·
January 2020 ACTIVE
Extracting information from clinical narratives for Clinical Outcomes Research
PATIENT-CENTERED OUTCOMES RES INST · Principal Investigator
April 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)
NATL INST OF HLTH NIA ·
February 2019 ACTIVE
Utilizing Data from the Electronic Medical Record to Predict Alzheimers and Dementia Risk
FL DEPT OF HLTH ED ETHEL MOORE ALZHEIMER ·

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

Contact Details

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