11 citations · 19 across the 5 of their papers we have counts for
5 papers
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…
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Yun Zhao, Qinghang Hong, Xinlu Zhang +3
Survival analysis is a technique to predict the times of specific outcomes, and is widely used in predicting the outcomes for intensive care unit (ICU) trauma patients. Recently, d…