2 papers
cs.LG2024
Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
Shibo Li, Hengliang Cheng, Weihua Li
The widespread application of Electronic Health Records (EHR) data in the medical field has led to early successes in disease risk prediction using deep learning methods. These met…
stat.AP2024
TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
Fanglin Dong
Sepsis poses a major global health threat, accounting for millions of deaths annually and significant economic costs. Accurately predicting the risk of mortality in sepsis patients…