A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. - Zehao Yu 001; Xi Yang 015; Chong Dang; Songzi Wu; Prakash Adekkanattu; Jyotishman Pathak; Thomas J. George; William R. Hogan; Yi Guo 005; Jiang Bian 001; Yonghui Wu (AMIA, 2021)

Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods. - Zehao Yu 001; Xi Yang 015; Gianna L. Sweeting; Yinghan Ma; Skylar E. Stolte; Ruogu Fang; Yonghui Wu (ICHI, 2021)

Clinical Relation Extraction Using Transformer-based Models. - Xi Yang 015; Zehao Yu 001; Yi Guo 005; Jiang Bian 001; Yonghui Wu (CoRR, 2021)

Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data. - Zehao Yu 001; Xi Yang 015; Yiqing Chen; Ruogu Fang; William R. Hogan; Yan Gong; Yonghui Wu (ICHI, 2022)

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. - Zehao Yu 001; Xi Yang 015; Chong Dang; Prakash Adekkanattu; Braja Gopal Patra; Yifan Peng 002; Jyotishman Pathak; Debbie L. Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic; Thomas J. George; William R. Hogan; et al. (CoRR, 2022)

Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. - Zehao Yu 001; Xi Yang 015; Gianna L. Sweeting; Yinghan Ma; Skylar E. Stolte; Ruogu Fang; Yonghui Wu (BMC Medical Informatics Decis. Mak., 2022)

Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods. - Aman Pathak; Zehao Yu 001; Daniel Paredes; Elio Paul Monsour; Andrea Ortiz Rocha; Juan P. Brito; Naykky Singh Ospina; Yonghui Wu (CoRR, 2023)

Contextualized medication information extraction using Transformer-based deep learning architectures. - Aokun Chen; Zehao Yu 001; Xi Yang 015; Yi Guo 005; Jiang Bian 001; Yonghui Wu (J. Biomed. Informatics, 2023)

Clinical concept and relation extraction using prompt-based machine reading comprehension. - Cheng Peng 009; Xi Yang 015; Zehao Yu 001; Jiang Bian 001; William R. Hogan; Yonghui Wu (J. Am. Medical Informatics Assoc., 2023)

Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. - Aokun Chen; Daniel Paredes; Zehao Yu 001; Xiwei Lou; Roberta Brunson; Jamie N. Thomas; Kimberly A. Martinez; Robert J. Lucero; Tanja Magoc; Laurence M. Solberg; Urszula Alina Snigurska; Sarah E. Ser; et al. (ICHI, 2024)

Unveiling Fall Risk Factors: Nurse-Driven Corpus Development for Natural Language Processing. - Ragnhildur I. Bjarnadottir; Yonghui Wu; Urszula Alina Snigurska; Sarah E. Ser; Laurence M. Solberg; Kimberly A. Martinez; Summer Bolin; Shannon E. Dwarica; Elizabeth Dunn; Laurie J. D. Duckworth; Xiwei Lou; Daniel Paredes; et al. (Nursing Informatics, 2024)

Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning. - Cheng Peng 009; Zehao Yu 001; Kaleb E. Smith; Wei-Hsuan Lo-Ciganic; Jiang Bian 001; Yonghui Wu (CoRR, 2024)

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Zehao Yu 001; Kaleb E. Smith; Anthony B. Costa; Mona G. Flores; Jiang Bian 001; Yonghui Wu (J. Am. Medical Informatics Assoc., 2024)

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. - Cheng Peng 009; Xi Yang 015; Kaleb E. Smith; Zehao Yu 001; Aokun Chen; Jiang Bian 001; Yonghui Wu (J. Biomed. Informatics, 2024)

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. - Zehao Yu 001; Cheng Peng 009; Xi Yang 015; Chong Dang; Prakash Adekkanattu; Braja Gopal Patra; Yifan Peng 002; Jyotishman Pathak; Debbie L. Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic; Thomas J. George; et al. (J. Biomed. Informatics, 2024)

Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies. - Xinyao Jian; Dazheng Zhang; Zehao Yu 001; Hua Xu 001; Jiang Bian 001; Yonghui Wu; Jiayi Tong; Yong Chen 016 (J. Biomed. Informatics, 2025)