activity
20192022
most citedDeveloping Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

15 citations · 60 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 12 cited

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-…

cs.LG2021

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…