Arash Pakbin

Prediction of ICU Readmissions Using Data at Patient Discharge

Bobak Mortazavi, Harlan M. Krumholz, Wade L. Schulz, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates

Hongyu Zhao, Bobak J. Mortazavi, Arash Pakbin, 2020, ICML.

A human-centered wearable sensing platform with intelligent automated data annotation capabilities

Roozbeh Jafari, Ali Akbari, Bobak J. Mortazavi, 2019, IoTDI.

Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards

Donald K. K. Lee, Zhale Nowroozilarki, Bobak J. Mortazavi, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

BoXHED2.0: Scalable boosting of dynamic survival analysis

Bobak J. Mortazavi, Arash Pakbin, Donald K.K. Lee, 2021 .

BoXHED 2.0: Scalable boosting of functional data in survival analysis pdf

Donald K. K. Lee, Bobak J. Mortazavi, Arash Pakbin, 2021, ArXiv.

Interpretable Deep Learning Framework for Predicting all-cause 30-day ICU Readmissions

Arash Pakbin, Parvez Rafi, Shiva Kumar Pentyala, 2017 .