Yonghui Wu

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 35

Top Venues

Research square

Journal of the American Medical Informatics Association : JAMIA

Journal of cancer research and clinical oncology

JMIR research protocols

University of Florida

Harbin Institute of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Florida

United States

Assistant Professor :: Department of Health Outcomes & Biomedical Informatics

Education History

Harbin Institute of Technology Jul 01 2005 - Nov 10 2010

China

PHD :: Computer Science

Publications

Aaron Lawson McLean, Yonghui Wu, Anna Cecilia Lawson McLean, Vagelis Hristidis
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) (2024)
Aaron Lawson McLean, Yonghui Wu, Anna Cecilia Lawson McLean, Vagelis Hristidis
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) (2024)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
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 : JAMIA 31 (9) (2024)
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, Xinyu Zhou, Huan He, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
Me-LLaMA: Foundation Large Language Models for Medical Applications. Research square (2024)
Aaron Lawson McLean, Yonghui Wu, Anna Cecilia Lawson McLean, Vagelis Hristidis
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) (2024)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
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 : JAMIA (2024)
Prakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, Aman Pathak, Braja Patra, Sarah Bost, Destinee Morrow, Grace Wang, Yuyang Yang, Noah Forrest, Yuan Luo, Theresa Walunas, Wei-Hsuan Jenny, Walid Gellad, Jiang Bian, Yuhua Bao, Mark G Weiner, Dave Oslin, Jyotishman Pathak
Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site Study. Research square (2024)
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, Xinyu Zhou, Huan He, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
Me-LLaMA: Foundation Large Language Models for Medical Applications. Research square (2024)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
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 : JAMIA (2024)
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, Xinyu Zhou, Huan He, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
Me-LLaMA: Foundation Large Language Models for Medical Applications. Research square (2024)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
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 : JAMIA 31 (9) (2024)
Aaron Lawson McLean, Yonghui Wu, Anna Cecilia Lawson McLean, Vagelis Hristidis
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) (2024)
Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, Xinyu Zhou, Huan He, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
Me-LLaMA: Foundation Large Language Models for Medical Applications. Research square (2024)
Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
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 : JAMIA 31 (9) (2024)
Prakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, Aman Pathak, Braja Gopal Patra, Sarah Bost, Destinee Morrow, Grace Hsin-Min Wang, Yuyang Yang, Noah James Forrest, Yuan Luo, Theresa L Walunas, Wei-Hsuan Lo-Ciganic Jenny, Walid Gelad, Jiang Bian, Yuhua Bao, Mark G Weiner, David Oslin, Jyotishman Pathak
Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site Study. Research square (2024)
Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Aaron Lawson McLean, Yonghui Wu, Anna Cecilia Lawson McLean, Vagelis Hristidis
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) (2024)
Aaron Lawson McLean, Yonghui Wu, Anna Cecilia Lawson McLean, Vagelis Hristidis
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) (2024)
Prakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, Aman Pathak, Braja Patra, Sarah Bost, Destinee Morrow, Grace Wang, Yuyang Yang, Noah Forrest, Yuan Luo, Theresa Walunas, Wei-Hsuan Jenny, Walid Gellad, Jiang Bian, Yuhua Bao, Mark G Weiner, Dave Oslin, Jyotishman Pathak
Detection of Personal and Family History of Suicidal Thoughts and Behaviors using Deep Learning and Natural Language Processing: A Multi-Site Study. Research square (2024)
Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R Hogan, Yonghui Wu
Clinical concept and relation extraction using prompt-based machine reading comprehension. Journal of the American Medical Informatics Association : JAMIA (2023)
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E Smith, Nima PourNejatian, Anthony B Costa, Cheryl Martin, Mona G Flores, Ying Zhang, Tanja Magoc, Gloria Lipori, Duane A Mitchell, Naykky S Ospina, Mustafa M Ahmed, William R Hogan, Elizabeth A Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
A study of generative large language model for medical research and healthcare. NPJ digital medicine 6 (1) (2023)
Sarah E Ser, Kristen Shear, Urszula A Snigurska, Mattia A Prosperi, Yonghui Wu, Tanja Magoc, Ragnhildur I Bjarnadottir, Robert James Lucero
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 (2023)
Piaopiao Li, Tianchen Lyu, Khalid Alkhuzam, Eliot Spector, William T Donahoo, Sarah Bost, Yonghui Wu, William R Hogan, Mattia A Prosperi, Desmond A Schatz, Mark A Atkinson, Michael J Haller, Elizabeth A Shenkman, Yi Guo, Jiang Bian, Stephen R Benoit
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 : JAMIA (2023)
Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B Costa, Mona G Flores, Ying Zhang, Tanja Magoc, Christopher A Harle, Gloria Lipori, Duane A Mitchell, William R Hogan, Elizabeth A Shenkman, Jiang Bian, Yonghui Wu
A large language model for electronic health records. NPJ digital medicine 5 (1) (2022)
Jordan M Alpert, Hyehyun Julia Kim, Cara McDonnell, Yi Guo, Thomas J George, Jiang Bian, Yonghui Wu
Barriers and Facilitators of Obtaining Social Determinants of Health of Patients With Cancer Through the Electronic Health Record Using Natural Language Processing Technology: Qualitative Feasibility Study With Stakeholder Interviews. JMIR formative research 6 (12) (2022)
Jordan M Alpert, Hyehyun Julia Kim, Cara McDonnell, Yi Guo, Thomas J George, Jiang Bian, Yonghui Wu
Barriers and Facilitators of Obtaining Social Determinants of Health of Patients With Cancer Through the Electronic Health Record Using Natural Language Processing Technology: Qualitative Feasibility Study With Stakeholder Interviews. JMIR formative research 6 (12) (2022)
Yonghui Wu, Xi Yang, Heather Lynne Morris, Matthew J Gurka, Elizabeth A Shenkman, Kenneth Cusi, Fernando Bril, William Troy Donahoo
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) (2022)
Jordan M Alpert, Hyehyun Julia Kim, Cara McDonnell, Yi Guo, Thomas J George, Jiang Bian, Yonghui Wu
Barriers and Facilitators of Obtaining Social Determinants of Health of Patients With Cancer Through the Electronic Health Record Using Natural Language Processing Technology: Qualitative Feasibility Study With Stakeholder Interviews. JMIR formative research 6 (12) (2022)
Jordan M Alpert, Hyehyun Julia Kim, Cara McDonnell, Yi Guo, Thomas J George, Jiang Bian, Yonghui Wu
Barriers and Facilitators of Obtaining Social Determinants of Health of Patients With Cancer Through the Electronic Health Record Using Natural Language Processing Technology: Qualitative Feasibility Study With Stakeholder Interviews. JMIR formative research 6 (12) (2022)
Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B Costa, Mona G Flores, Ying Zhang, Tanja Magoc, Christopher A Harle, Gloria Lipori, Duane A Mitchell, William R Hogan, Elizabeth A Shenkman, Jiang Bian, Yonghui Wu
A large language model for electronic health records. NPJ digital medicine 5 (1) (2022)
Xi Yang, Xing He, Hansi Zhang, Yinghan Ma, Jiang Bian, Yonghui Wu
Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models. JMIR medical informatics 8 (11) (2020)
Xi Yang, Hansi Zhang, Xing He, Jiang Bian, Yonghui Wu
Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models. JMIR medical informatics 8 (12) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yonghui Wu