Yonghui Wu, PhD
Chief Data Scientist & Associate Professor
Department:
MD-HOBI-BIOMED INFORMATICS
Business Phone:
(352) 294-8436
Business Email:
yonghui.wu@ufl.edu
About Yonghui Wu
Dr. Yonghui Wu is an Associate Professor with Tenure in the Department of Health Outcomes & Biomedical Informatics, College of Medicine at the University of Florida (UF), and the Chief Data Scientist & Director of Natural Language Processing (NLP) at the UF Clinical and Translational Science Institute (CTSI). Dr. Wu’s research interests include NLP, large language models (LLMs), machine learning, and computational drug discovery using electronic health records (EHRs). Dr. Wu has a strong track record of building artificial intelligence (AI) models and informatics tools to advance medical discovery and healthcare. His research has produced a number of widely used AI models (e.g., GatorTron LLMs) and informatics tools. He has more than 100 publications consisting of peer-reviewed journal articles, conference proceedings, and book chapters. He has been the principal investigator for grants from the National Institutes of Health (NIH) and Patient-Centered Outcomes Research Institute (PCORI).
Dr. Wu received his Ph.D. in Computer Science from the Harbin Institute of Technology with a focus on NLP. Then, he entered medical informatics research with a motivation to improve medical discovery and healthcare. He has Biomedical Informatics training at the Vanderbilt University and the University of Texas Health Science Center at Houston.
Accomplishments
Pioneering Research HiPerGator Award – GatorTron
2024
·
University of Florida
Exemplary Teaching Award
2022
·
UF College of Medicine
Exemplary Teaching Award
2021
·
UF College of Medicine
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
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
Teaching Profile
Courses Taught
2019-2021
GMS6803 Data Science for Clinical Research
2019-2021,2023-2025,2025
GMS6856 Introduction to Biomedical Natural Language Processing
Publications
Academic Articles
2025
Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network.
Diabetes, obesity & metabolism.
27(1):102-110
[DOI] 10.1111/dom.15987.
[PMID] 39344840.
2025
Toward a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records
JCO Clinical Cancer Informatics.
(9)
[DOI] 10.1200/cci.24.00139.
2024
A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology.
Mayo Clinic proceedings. Digital health.
2(2):270-279
[DOI] 10.1016/j.mcpdig.2024.03.007.
[PMID] 38938930.
2024
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study.
JMIR research protocols.
13
[DOI] 10.2196/57981.
[PMID] 38976313.
2024
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs
npj Digital Medicine.
7(1)
[DOI] 10.1038/s41746-024-01266-7.
[PMID] 39341983.
2024
Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings.
Bioelectronic medicine.
10(1)
[DOI] 10.1186/s42234-024-00156-3.
[PMID] 39420438.
2024
Develop and validate a computable phenotype for the identification of Alzheimer’s disease patients using electronic health record data.
Alzheimer's & dementia (Amsterdam, Netherlands).
16(3)
[DOI] 10.1002/dad2.12613.
[PMID] 38966622.
2024
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models.
Journal of healthcare informatics research.
8(3):463-477
[DOI] 10.1007/s41666-024-00166-5.
[PMID] 39131104.
2024
Feasibility of Identifying Factors Related to Alzheimer’s Disease and Related Dementia in Real-World Data.
medRxiv : the preprint server for health sciences.
[DOI] 10.1101/2024.02.10.24302621.
[PMID] 38405723.
2024
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need
Journal of the American Medical Informatics Association.
31(9):1892-1903
[DOI] 10.1093/jamia/ocae078.
[PMID] 38630580.
2024
Heterogeneous treatment effects of metformin on risk of dementia in patients with type 2 diabetes: A longitudinal observational study.
Alzheimer's & dementia : the journal of the Alzheimer's Association.
20(2):975-985
[DOI] 10.1002/alz.13480.
[PMID] 37830443.
2024
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias
Journal of Biomedical Informatics.
153
[DOI] 10.1016/j.jbi.2024.104642.
[PMID] 38621641.
2024
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing.
Proceedings. IEEE International Conference on Healthcare Informatics.
2024:305-311
[DOI] 10.1109/ichi61247.2024.00046.
[PMID] 39726986.
2024
Large language models as decision aids in neuro-oncology: a review of shared decision-making applications
Journal of Cancer Research and Clinical Oncology.
150(3)
[DOI] 10.1007/s00432-024-05673-x.
[PMID] 38503921.
2024
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction
Journal of Biomedical Informatics.
153
[DOI] 10.1016/j.jbi.2024.104630.
[PMID] 38548007.
2024
Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.
Studies in health technology and informatics.
310:419-423
[DOI] 10.3233/SHTI230999.
[PMID] 38269837.
2024
Unveiling Fall Risk Factors: Nurse-Driven Corpus Development for Natural Language Processing.
Studies in health technology and informatics.
315:373-378
[DOI] 10.3233/SHTI240172.
[PMID] 39049286.
2023
A Computable Phenotype for the Identification of Sexual and Gender Minorities in Electronic Health Records.
AMIA … Annual Symposium proceedings. AMIA Symposium.
2023:1057-1066
[PMID] 38222414.
2023
A study of generative large language model for medical research and healthcare
npj Digital Medicine.
6(1)
[DOI] 10.1038/s41746-023-00958-w.
[PMID] 37973919.
2023
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias.
International journal of medical informatics.
170
[DOI] 10.1016/j.ijmedinf.2022.104973.
[PMID] 36577203.
2023
Clinical concept and relation extraction using prompt-based machine reading comprehension
Journal of the American Medical Informatics Association.
30(9):1486-1493
[DOI] 10.1093/jamia/ocad107.
[PMID] 37316988.
2023
Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study.
JMIR research protocols.
12
[DOI] 10.2196/48521.
[PMID] 37943599.
2023
Contextualized medication information extraction using Transformer-based deep learning architectures.
Journal of biomedical informatics.
142
[DOI] 10.1016/j.jbi.2023.104370.
[PMID] 37100106.
2023
Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records.
Alzheimer's & dementia : the journal of the Alzheimer's Association.
19(8):3506-3518
[DOI] 10.1002/alz.12967.
[PMID] 36815661.
2023
Evaluation of a Computable Phenotype for Successful Cognitive Aging.
Mayo Clinic proceedings. Innovations, quality & outcomes.
7(4):212-221
[DOI] 10.1016/j.mayocpiqo.2023.04.006.
[PMID] 37304063.
2023
Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients.
Proceedings. IEEE International Conference on Healthcare Informatics.
2023:756-759
[DOI] 10.1109/ichi57859.2023.00139.
[PMID] 39070248.
2023
Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods.
AMIA … Annual Symposium proceedings. AMIA Symposium.
2023:1193-1200
[PMID] 38222394.
2023
Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer’s Disease Using Electronic Health Records.
AMIA … Annual Symposium proceedings. AMIA Symposium.
2023:764-773
[PMID] 38222396.
2023
Newer glucose-lowering drugs and risk of dementia: A systematic review and meta-analysis of observational studies.
Journal of the American Geriatrics Society.
71(7):2096-2106
[DOI] 10.1111/jgs.18306.
[PMID] 36821780.
2023
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records
Journal of the American Medical Informatics Association.
31(1):165-173
[DOI] 10.1093/jamia/ocad194.
[PMID] 37812771.
2022
A large language model for electronic health records
npj Digital Medicine.
5(1)
[DOI] 10.1038/s41746-022-00742-2.
[PMID] 36572766.
2022
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing.
Proceedings. IEEE International Conference on Healthcare Informatics.
2022:618-619
[DOI] 10.1109/ichi54592.2022.00125.
[PMID] 36168559.
2022
Assessing the Documentation of Social Determinants of Health for Lung Cancer Patients in Clinical Narratives.
Frontiers in public health.
10
[DOI] 10.3389/fpubh.2022.778463.
[PMID] 35419333.
2022
Biases in using social media data for public health surveillance: A scoping review.
International journal of medical informatics.
164
[DOI] 10.1016/j.ijmedinf.2022.104804.
[PMID] 35644051.
2022
Evaluation of machine learning algorithms for predicting direct-acting antiviral treatment failure among patients with chronic hepatitis C infection.
Scientific reports.
12(1)
[DOI] 10.1038/s41598-022-22819-4.
[PMID] 36302828.
2022
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.
BMC medical informatics and decision making.
22(Suppl 3)
[DOI] 10.1186/s12911-022-01996-2.
[PMID] 36167551.
2022
Machine learning algorithms for predicting direct-acting antiviral treatment failure in chronic hepatitis C: An HCV-TARGET analysis.
Hepatology (Baltimore, Md.).
76(2):483-491
[DOI] 10.1002/hep.32347.
[PMID] 35034373.
2022
Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores.
JMIR medical informatics.
10(6)
[DOI] 10.2196/36997.
[PMID] 35666557.
2022
Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review.
Journal of clinical medicine.
11(16)
[DOI] 10.3390/jcm11164813.
[PMID] 36013053.
2022
Prevalence of Alzheimer’s and Related Dementia Diseases and Risk Factors Among Transgender Adults, Florida, 2012‒2020.
American journal of public health.
112(5):754-757
[DOI] 10.2105/AJPH.2022.306720.
[PMID] 35324265.
2022
Procedural complications associated with invasive diagnostic procedures after lung cancer screening with low-dose computed tomography.
Lung cancer (Amsterdam, Netherlands).
165:141-144
[DOI] 10.1016/j.lungcan.2021.12.020.
[PMID] 35124410.
2022
Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review.
International journal of environmental research and public health.
19(8)
[DOI] 10.3390/ijerph19084673.
[PMID] 35457541.
2021
Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.
AMIA … Annual Symposium proceedings. AMIA Symposium.
2021:1264-1273
[PMID] 35308985.
2020
A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.
Proceedings. IEEE International Conference on Healthcare Informatics.
2020
[DOI] 10.1109/ICHI48887.2020.9374369.
[PMID] 33786419.
2020
Assessing mental health signals among sexual and gender minorities using Twitter data.
Health informatics journal.
26(2):765-786
[DOI] 10.1177/1460458219839621.
[PMID] 30969146.
2020
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.
Journal of the American Medical Informatics Association : JAMIA.
27(12):1999-2010
[DOI] 10.1093/jamia/ocaa245.
[PMID] 33166397.
2020
Clinical concept extraction using transformers.
Journal of the American Medical Informatics Association : JAMIA.
27(12):1935-1942
[DOI] 10.1093/jamia/ocaa189.
[PMID] 33120431.
2020
Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.
AMIA … Annual Symposium proceedings. AMIA Symposium.
2020:514-523
[PMID] 33936425.
2020
Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models.
JMIR medical informatics.
8(12)
[DOI] 10.2196/22982.
[PMID] 33320104.
2020
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.
International journal of medical informatics.
143
[DOI] 10.1016/j.ijmedinf.2020.104272.
[PMID] 32980667.
2020
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
Journal of the American Medical Informatics Association : JAMIA.
27(1):65-72
[DOI] 10.1093/jamia/ocz144.
[PMID] 31504605.
2020
International Classification of Diseases, Tenth Revision, Clinical Modification social determinants of health codes are poorly used in electronic health records.
Medicine.
99(52)
[DOI] 10.1097/MD.0000000000023818.
[PMID] 33350768.
2020
Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models.
JMIR medical informatics.
8(11)
[DOI] 10.2196/19735.
[PMID] 33226350.
2020
Mining Twitter to Assess the Determinants of Health Behavior towards Palliative Care in the United States.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.
2020:730-739
[PMID] 32477696.
2019
A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.
IEEE International Conference on Healthcare Informatics. IEEE International Conference on Healthcare Informatics.
2019
[DOI] 10.1109/ICHI.2019.8904544.
[PMID] 31879734.
2019
A study of deep learning methods for de-identification of clinical notes in cross-institute settings.
BMC medical informatics and decision making.
19(Suppl 5)
[DOI] 10.1186/s12911-019-0935-4.
[PMID] 31801524.
2019
Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.
BMC medical informatics and decision making.
19(Suppl 5)
[DOI] 10.1186/s12911-019-0937-2.
[PMID] 31801529.
2019
Detect Attributes of Medical Concepts via Sequence Labeling.
IEEE International Conference on Healthcare Informatics. IEEE International Conference on Healthcare Informatics.
2019
[DOI] 10.1109/ICHI.2019.8904714.
[PMID] 32537570.
2019
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.
JAMA network open.
2(3)
[DOI] 10.1001/jamanetworkopen.2019.0968.
[PMID] 30901048.
2019
MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes.
Drug safety.
42(1):123-133
[DOI] 10.1007/s40264-018-0761-0.
[PMID] 30600484.
2019
Time-sensitive clinical concept embeddings learned from large electronic health records.
BMC medical informatics and decision making.
19(Suppl 2)
[DOI] 10.1186/s12911-019-0766-3.
[PMID] 30961579.
2018
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set
Journal of Biomedical Informatics.
84:11-16
[DOI] 10.1016/j.jbi.2018.06.011.
[PMID] 29908902.
2018
Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative.
JAMA network open.
1(4)
[DOI] 10.1001/jamanetworkopen.2018.1755.
[PMID] 30646124.
2018
Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.
AMIA … Annual Symposium proceedings. AMIA Symposium.
2018:1110-1117
[PMID] 30815153.
2018
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.
AMIA … Annual Symposium proceedings. AMIA Symposium.
2018:1601-1610
[PMID] 30815206.
Grants
Dec 2024
ACTIVE
Multimodal Multi-Medical Task Adaptive Guidance System (Multi-TAGs)
Role: Principal Investigator
Funding: SRI INTERNATIONAL
via US DEPT OF ADVANCED RES PROJ AGENCY-HLTH
Sep 2024
ACTIVE
Artificial Intelligence Passport for Biomedical Research (AIPassportBMR ): Digital Experiential Learning Community for Upskilling in Artificial Intelligence for Biomedical, Behavioral and Clinical Research
Role: Co-Investigator
Funding: NATL INST OF HLTH NIGMS
Jul 2024
ACTIVE
Cost effective Clinical Information Extraction using Large Language Models through Prompt-tuning
Role: Principal Investigator
Funding: SELFIIE CORPORATION
Jul 2024
ACTIVE
AI-based Clinical decision support to idenTify wOmeN for HIV testing and PrEP in Florida (ACTION-HIV)
Role: Co-Investigator
Funding: NATL INST OF HLTH NIMH
Nov 2023
– Apr 2025
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)
Role: Co-Investigator
Funding: UNIV OF PITTSBURGH
via NATL INST OF HLTH NIDA
Sep 2023
ACTIVE
Assessing performance of a Hepatitis C Emergency Department (HepC-END) Screening Tool
Role: Co-Investigator
Funding: NATL INST OF HLTH NIDA
Sep 2023
ACTIVE
Identifying pediatric asthma subtypes using novel privacy-preserving federated machine learning methods
Role: Co-Investigator
Funding: NATL INST OF HLTH NHLBI
Sep 2023
– Jan 2025
An end-to-end informatics framework to study Multiple Chronic Conditions (MCC)s impact on Alzheimers disease using harmonized electronic health records
Role: Co-Investigator
Funding: UNIV OF TEXAS HLTH SCI CTR AT HOUSTON
via NATL INST OF HLTH NIA
Sep 2023
– Jan 2024
ACTS (AD Clinical Trial Simulation): Developing Advanced Informatics Approaches for an Alzheimer's Disease Clinical Trial Simulation System
Role: Co-Investigator
Funding: UNIV OF TEXAS HLTH SCI CTR AT HOUSTON
via NATL INST OF HLTH NIA
Jul 2023
ACTIVE
Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2)
Role: Co-Investigator
Funding: NATL INST OF HLTH NCI
Jul 2023
ACTIVE
De-implementation of inappropriate thyroid ultrasound
Role: Co-Investigator
Funding: MAYO CLINIC
via NATL INST OF HLTH NCI
Apr 2023
ACTIVE
Artificial Intelligence and Counterfactually Actionable Responses to End HIV (AICARE-HIV)
Role: Co-Investigator
Funding: NATL INST OF HLTH NIAID
Mar 2023
ACTIVE
Utilizing Data from the Electronic Health Record to Understand the Progression Pathway of Alzheimers Disease and Related Dementias
Role: Co-Investigator
Funding: FL DEPT OF HLTH ED ETHEL MOORE ALZHEIMER
Feb 2023
ACTIVE
Eligibility criteria design for Alzheimers trials with real-world data and explainable AI
Role: Co-Investigator
Funding: WEILL MED COLLEGE OF CORNELL UNIV
via NATL INST OF HLTH NIA
Mar 2022
ACTIVE
Computational Drug Repurposing for AD/ADRD with Integrative Analysis of Real-World Data and Biomedical Knowledge
Role: Co-Investigator
Funding: WEILL MED COLLEGE OF CORNELL UNIV
via NATL INST OF HLTH NIA
Jan 2022
– Dec 2024
OneFlorida+ Phase 3 Clinical Research Network
Role: Co-Investigator
Funding: PATIENT-CENTERED OUTCOMES RES INST
Oct 2021
– May 2023
RESEARCHING COVID TO ENHANCE RECOVERY (RECOVER) INITIATIVE
Role: Co-Investigator
Funding: WEILL MED COLLEGE OF CORNELL UNIV
via NATL INST OF HLTH NHLBI
Jul 2021
– Oct 2023
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)
Role: Co-Investigator
Funding: NATL INST OF HLTH NIDA
Apr 2021
– Mar 2025
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
Apr 2021
– Mar 2025
Advancing Drug Repositioning for Alzheimers Disease using Real-world Data
Role: Principal Investigator
Funding: NATL INST OF HLTH NIA
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
Sep 2020
ACTIVE
Linking VA and non-VA data to study the risk of suicide in chronic pain patients
Role: Principal Investigator
Funding: WEILL MED COLLEGE OF CORNELL UNIV
via NATL INST OF HLTH NIMH
Aug 2020
– Sep 2021
The External Exposome and COVID-19 Severity
Role: Co-Investigator
Funding: NATL INST OF HLTH NIEHS
Aug 2020
– Jan 2024
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
– Dec 2022
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
ACTIVE
Extracting information from clinical narratives for Clinical Outcomes Research
Role: Principal Investigator
Funding: PATIENT-CENTERED OUTCOMES RES INST
Jan 2020
– Dec 2024
The benefits and harms of lung cancer screening in Florida
Role: Co-Investigator
Funding: NATL INST OF HLTH NCI
Jan 2020
– Mar 2020
Data Science in Health Informatics Workshop with Deep Learning Winter 2020
Role: Co-Investigator
Funding: *NORTHEASTERN UNIVERSITY OF CHINA
Apr 2019
– Mar 2021
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
– Feb 2021
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
– Nov 2022
Systematic Analysis of Clinical Study Generalizability Assessment Methods with Informatics
Role: Co-Investigator
Funding: FL STATE UNIV
via NATL INST OF HLTH NIA
Jul 2018
– Jun 2024
Southeast Enrollment Center (SEEC)
Role: Co-Project Director/Principal Investigator
Funding: UNIV OF MIAMI
via NATL INST OF HLTH OD
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
Addresses:
- Business Mailing:
-
PO Box 100265
GAINESVILLE FL 32610 - Business Street:
-
1329 SW 16TH ST STE 3150
GAINESVILLE FL 32608