activity
20192023
most citedAre Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding

29 citations · 69 across the 16 of their papers we have counts for

collaborators
Showing cs.LGShow all

7 papers · 1 filter

cs.LG2022

VREN: Volleyball Rally Dataset with Expression Notation Language

Haotian Xia, Rhys Tracy, Yun Zhao +3

This research is intended to accomplish two goals: The first goal is to curate a large and information rich dataset that contains crucial and succinct summaries on the players' act…

cs.LG2022★ 2 cited

Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning

Yuqing Wang, Yun Zhao, Linda Petzold

As critically ill patients frequently develop anemia or coagulopathy, transfusion of blood products is a frequent intervention in the Intensive Care Units (ICU). However, inappropr…

cs.LG2022★ 1 cited

Enhancing Transformer Efficiency for Multivariate Time Series Classification

Yuqing Wang, Yun Zhao, Linda Petzold

Most current multivariate time series (MTS) classification algorithms focus on improving the predictive accuracy. However, for large-scale (either high-dimensional or long-sequenti…

cs.LG2022★ 6 cited

Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis

Yuqing Wang, Yun Zhao, Rachael Callcut +1

Sepsis is a leading cause of death in the Intensive Care Units (ICU). Early detection of sepsis is critical for patient survival. In this paper, we propose a multimodal Transformer…

cs.LG2021

Empirical Quantitative Analysis of COVID-19 Forecasting Models

Yun Zhao, Yuqing Wang, Junfeng Liu +5

COVID-19 has been a public health emergency of international concern since early 2020. Reliable forecasting is critical to diminish the impact of this disease. To date, a large num…

cs.LG2021★ 1 cited

Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks

Xinlu Zhang, Yun Zhao, Rachael Callcut +1

Multiple organ failure (MOF) is a severe syndrome with a high mortality rate among Intensive Care Unit (ICU) patients. Early and precise detection is critical for clinicians to mak…