Hanyin Wang

According to our database, Hanyin Wang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients.

Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun

npj Digit. Medicine, 2024

A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.

Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun

CoRR, 2024

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

CoRR, 2024

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

J. Am. Medical Informatics Assoc., April, 2023

A comparative study of pretrained language models for long clinical text.

Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo

J. Am. Medical Informatics Assoc., January, 2023

Enhancing Health Data Interoperability with Large Language Models: A FHIR Study.

Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Yuan Luo

CoRR, 2023

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

CoRR, 2023

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, Feixiong Cheng, Yuan Luo

npj Digit. Medicine, 2022

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants.

Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo

BMC Medical Informatics Decis. Mak., 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

CoRR, 2022

Multimodal Machine Learning in Precision Health.

Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

CoRR, 2022

Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences.

Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo

CoRR, 2022

2021

Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients.

Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo

CoRR, 2021

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

Artif. Intell. Medicine, 2020

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports.

Yikuan Li, Hanyin Wang, Yuan Luo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

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

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019