29 citations · 92 across the 18 of their papers we have counts for
6 papers · 1 filter
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
Yuqing Wang, Malvika Pillai, Yun Zhao +2
In the high-stakes realm of healthcare, ensuring fairness in predictive models is crucial. Electronic Health Records (EHRs) have become integral to medical decision-making, yet exi…
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…
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…
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…
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…
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
Yuqing Wang, Yun Zhao, Rachael Callcut +1
Multiple organ failure (MOF) is a life-threatening condition. Due to its urgency and high mortality rate, early detection is critical for clinicians to provide appropriate treatmen…