12 citations · 18 across the 4 of their papers we have counts for
4 papers
Random Hazard Forests
Hemant Ishwaran, Eileen M. Hsich, Udaya B. Kogalur +1
Clinical data sources such as electronic health records and wearable sensors record patient status repeatedly over follow-up, often at irregular times and on different schedules fo…
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
Zhale Nowroozilarki, Arash Pakbin, James Royalty +2
Electronic Health Record (EHR) systems provide critical, rich and valuable information at high frequency. One of the most exciting applications of EHR data is in developing a real-…
BoXHED2.0: Scalable boosting of dynamic survival analysis
Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi +1
Modern applications of survival analysis increasingly involve time-dependent covariates. The Python package BoXHED2.0 is a tree-boosted hazard estimator that is fully nonparametric…
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang, Arash Pakbin, Bobak J. Mortazavi +2
The proliferation of medical monitoring devices makes it possible to track health vitals at high frequency, enabling the development of dynamic health risk scores that change with…