Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk. - Hanyin Wang; Yikuan Li; Hongyan Ning; John Wilkins; Donald Lloyd-Jones; Yuan Luo 001 (MedInfo, 2019)

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. - Yikuan Li; Hanyin Wang; Yuan Luo 001 (BIBM, 2020)

Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network. - Hanyin Wang; Yikuan Li; Seema A. Khan; Yuan Luo 001 (Artif. Intell. Medicine, 2020)

Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients. - Hanyin Wang; Yikuan Li; Andrew Naidech; Yuan Luo 001 (CoRR, 2021)

Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences. - Yikuan Li; Ramsey M. Wehbe; Faraz S. Ahmad; Hanyin Wang; Yuan Luo 001 (CoRR, 2022)

Multimodal Machine Learning in Precision Health. - Adrienne S. Kline; Hanyin Wang; Yikuan Li; Saya R. Dennis; Meghan Hutch; Zhenxing Xu; Fei Wang 001; Feixiong Cheng; Yuan Luo 001 (CoRR, 2022)

Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. - Hanyin Wang; Meghan R. Hutch; Yikuan Li; Adrienne S. Kline; Sebastian Otero; Leena B. Mithal; Emily S. Miller; Andrew Naidech; Yuan Luo 001 (CoRR, 2022)

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants. - Hanyin Wang; Yikuan Li; Andrew Naidech; Yuan Luo 001 (BMC Medical Informatics Decis. Mak., 2022)

Multimodal machine learning in precision health: A scoping review. - Adrienne S. Kline; Hanyin Wang; Yikuan Li; Saya R. Dennis; Meghan Hutch; Zhenxing Xu; Fei Wang 001; Feixiong Cheng; Yuan Luo 001 (npj Digit. Medicine, 2022)

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. - Yikuan Li; Chengsheng Mao; Kaixuan Huang; Hanyin Wang; Zheng Yu; Mengdi Wang; Yuan Luo 001 (CoRR, 2023)

Enhancing Health Data Interoperability with Large Language Models: A FHIR Study. - Yikuan Li; Hanyin Wang; Halid Ziya Yerebakan; Yoshihisa Shinagawa; Yuan Luo 001 (CoRR, 2023)

A comparative study of pretrained language models for long clinical text. - Yikuan Li; Ramsey M. Wehbe; Faraz S. Ahmad; Hanyin Wang; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2023)

Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. - Hanyin Wang; Yikuan Li; Meghan R. Hutch; Adrienne S. Kline; Sebastian Otero; Leena B. Mithal; Emily S. Miller; Andrew Naidech; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2023)

Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning. - Hanyin Wang; Chufan Gao; Bolun Liu; Qiping Xu; Guleid Hussein; Mohamad El Labban; Kingsley Iheasirim; Hariprasad Korsapati; Chuck Outcalt; Jimeng Sun 001 (CoRR, 2024)

A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. - Zifeng Wang 008; Hanyin Wang; Benjamin P. Danek; Ying Li; Christina Mack; Hoifung Poon; Yajuan Wang; Pranav Rajpurkar; Jimeng Sun 001 (CoRR, 2024)

Process-Supervised Reward Models for Clinical Note Generation: A Scalable Approach Guided by Domain Expertise. - Hanyin Wang; Qiping Xu; Bolun Liu; Guleid Hussein; Hariprasad Korsapati; Mohamad El Labban; Kingsley Iheasirim; Mohamed Hassan; Gokhan Anil; Brian Bartlett; Jimeng Sun 001 (CoRR, 2024)

DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients. - Hanyin Wang; Chufan Gao; Christopher Dantona; Bryan Hull; Jimeng Sun 001 (npj Digit. Medicine, 2024)

Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation. - Hanyin Wang; Chufan Gao; Bolun Liu; Qiping Xu; Guleid Hussein; Mohamad El Labban; Kingsley Iheasirim; Hariprasad Reddy Korsapati; Chuck Outcalt; Jimeng Sun 001 (ACL (Findings), 2025)

A perspective for adapting generalist AI to specialized medical AI applications and their challenges. - Zifeng Wang 008; Hanyin Wang; Benjamin P. Danek; Ying Li; Christina Mack; Luk Arbuckle; Devyani Biswal; Hoifung Poon; Yajuan Wang; Pranav Rajpurkar; Cao Xiao; Jimeng Sun 001 (npj Digit. Medicine, 2025)

Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding. - Hanyin Wang; Zhenbang Wu; Gururaj Kolar; Hariprasad Korsapati; Brian Bartlett; Bryan Hull; Jimeng Sun 001 (CoRR, 2025)