Hanyin Wang

Orcid: 0000-0001-9884-9683

According to our database1, Hanyin Wang authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients.
npj Digit. Medicine, 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.
J. Am. Medical Informatics Assoc., April, 2023

A comparative study of pretrained language models for long clinical text.
J. Am. Medical Informatics Assoc., January, 2023

Enhancing Health Data Interoperability with Large Language Models: A FHIR Study.
CoRR, 2023

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.
CoRR, 2023

2022
Multimodal machine learning in precision health: A scoping review.
npj Digit. Medicine, 2022

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants.
BMC Medical Informatics Decis. Mak., 2022

Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets.
CoRR, 2022

Multimodal Machine Learning in Precision Health.
CoRR, 2022

Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences.
CoRR, 2022

2021
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients.
CoRR, 2021

2020
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network.
Artif. Intell. Medicine, 2020

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports.
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.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019


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