12 citations · 23 across the 5 of their papers we have counts for
5 papers
Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED
Arash Pakbin, Aaron Su, Donald K. K. Lee +1
Objective: realtime monitoring of invasive ventilation (iV) in intensive care units (ICUs) plays a crucial role in ensuring prompt interventions and better patient outcomes. Howeve…
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…
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
Zepeng Huo, Arash PakBin, Xiaohan Chen +6
Activity recognition in wearable computing faces two key challenges: i) activity characteristics may be context-dependent and change under different contexts or situations; ii) unk…