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Yonghui Wu

University of Florida · US
Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Computer science, Medicine, Health records, Natural language processing, Speech recognition, and Speaker recognition.
h-index
citations
1,267
works
13
NIH funding
primary concept
email

Recent publications

Douchi-derived Bacillus subtilis modulates gut microbiota and bile acid metabolism to alleviate metformin-induced diarrhea in type 2 diabetes mellitus
Food Bioscience 2025cited by 5position: middledoi
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias
Journal of Biomedical Informatics 2024cited by 28position: lastdoi
Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings
Bioelectronic Medicine 2024cited by 8position: middledoi
Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records
Alzheimer s & Dementia 2023cited by 103position: middledoi
Enriching Real-world Data with Social Determinants of Health for Health Outcomes and Health Equity: Successes, Challenges, and Opportunities
Yearbook of Medical Informatics 2023cited by 25position: middledoi
Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores
JMIR Medical Informatics 2022cited by 16position: firstdoi
Extracting social determinants of health from electronic health records using natural language processing: a systematic review
Journal of the American Medical Informatics Association 2021cited by 233position: middledoi
Transformer-based named entity recognition for parsing clinical trial eligibility criteria
2021cited by 27position: middledoi
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 2020cited by 91position: middledoi
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions
JAMA Network Open 2019cited by 229position: middledoi
Disentangling Correlated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization
2019cited by 115position: middledoi
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Neural Information Processing Systems 2018cited by 230position: last
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 2018cited by 138position: middledoi
Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches
International Journal of Medical Informatics 2018cited by 44position: middledoi
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.
PubMed 2018cited by 18position: middle
A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)
Journal of the American Medical Informatics Association 2016cited by 80position: firstdoi
A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature
Journal of Cheminformatics 2015cited by 38position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Jiang Bian · Regenstrief Institute7 papers (2018–2024)Yi Guo · Xi'an University of Science and Technology5 papers (2018–2024)Xi Yang · University of Florida5 papers (2021–2024)Hua Xu · Tohoku University4 papers (2015–2018)Zhe He · South China Agricultural University3 papers (2018–2023)William R. Hogan · University of Florida3 papers (2018–2024)Xing He · University of Florida3 papers (2018–2024)Thomas J. George · University of Florida Health2 papers (2021–2024)Debbie L. Wilson · University of Florida2 papers (2024–2024)Elizabeth Shenkman · University of Florida Health2 papers (2022–2023)Adam J. Gordon · University of Utah2 papers (2019–2024)Mattia Prosperi · University of Florida2 papers (2018–2020)Braja Gopal Patra · Cornell University2 papers (2021–2024)Wei‐Hsuan Lo‐Ciganic · University of Arizona2 papers (2024–2024)Jyotishman Pathak · Cornell University2 papers (2021–2024)Prakash Adekkanattu · Cornell University2 papers (2021–2024)Yaoyun Zhang · University of Houston2 papers (2015–2018)Yu Zhang · Nanjing University of Chinese Medicine2 papers (2018–2019)Ron J. Weiss · Massachusetts Institute of Technology2 papers (2018–2019) · 2 papers (2019–2024)