4 citations · 5 across the 4 of their papers we have counts for
4 papers
Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units
Alan Wu, Tilendra Choudhary, Pulakesh Upadhyaya +3
Sepsis-induced acute respiratory failure (ARF) is a serious complication with a poor prognosis. This paper presents a deep representation learningbased phenotyping method to identi…
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
Yanbo Xu, Alind Khare, Glenn Matlin +4
Machine Learning (ML) research has focused on maximizing the accuracy of predictive tasks. ML models, however, are increasingly more complex, resource intensive, and costlier to de…
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence
Jeffrey R. Smith, Yao Xie, Christopher S. Josef +1
Sepsis is a severe medical condition caused by a dysregulated host response to infection that has a high incidence and mortality rate. Even with such a high-level occurrence rate,…
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients
Aditya Singh, Akram Mohammed, Lokesh Chinthala +1
Fever can provide valuable information for diagnosis and prognosis of various diseases such as pneumonia, dengue, sepsis, etc., therefore, predicting fever early can help in the ef…