92 citations · 112 across the 12 of their papers we have counts for
4 papers · 1 filter
Rare Event Early Detection: A Dataset of Sepsis Onset for Critically Ill Trauma Patients
Yin Jin, Tucker R. Stewart, Deyi Zhou +5
Sepsis is a major public health concern due to its high morbidity, mortality, and cost. Its clinical outcome can be substantially improved through early detection and timely interv…
Multi-Subset Approach to Early Sepsis Prediction
Kevin Ewig, Xiangwen Lin, Tucker Stewart +4
Sepsis is a life-threatening organ malfunction caused by the host's inability to fight infection, which can lead to death without proper and immediate treatment. Therefore, early d…
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients
Tucker Stewart, Katherine Stern, Grant O'Keefe +2
Sepsis is a syndrome that develops in the body in response to the presence of an infection. Characterized by severe organ dysfunction, sepsis is one of the leading causes of mortal…
Improved Knowledge Distillation via Full Kernel Matrix Transfer
Qi Qian, Hao Li, Juhua Hu
Knowledge distillation is an effective way for model compression in deep learning. Given a large model (i.e., teacher model), it aims to improve the performance of a compact model…