Factors Contributing to Computer System Downtime in the Emergency Department. - Nathan R. Hoot; James Christopher Wright; Dominik Aronsky (AMIA, 2003)

Using Bayesian Networks to Predict Survival of Liver Transplant Patients. - Nathan R. Hoot; Dominik Aronsky (AMIA, 2005)

An Early Warning System for Overcrowding in the Emergency Department. - Nathan R. Hoot; Dominik Aronsky (AMIA, 2006)

Research Paper: Forecasting Emergency Department Crowding: A Prospective, Real-time Evaluation. - Nathan R. Hoot; Larry J. LeBlanc; Ian Jones; Scott R. Levin; Chuan Zhou 012; Cynthia S. Gadd; Dominik Aronsky (J. Am. Medical Informatics Assoc., 2009)

Comparison of Emergency Department Throughput Visualizations. - Swaroop Gantela; Todd R. Johnson; Nnaemeka G. Okafor; David J. Robinson; Brent King; Amit M. Mehta; Nathan R. Hoot; Charles L. Maddow; Vickie Nguyen; Adriana Rubio; Amy Franklin (AMIA, 2016)

Dashboard visualizations: Supporting real-time throughput decision-making. - Amy Franklin; Swaroop Gantela; Salsawit Shifarraw; Todd R. Johnson; David J. Robinson; Brent King; Amit M. Mehta; Charles L. Maddow; Nathan R. Hoot; Vickie Nguyen; Adriana Rubio; Jiajie Zhang; et al. (J. Biomed. Informatics, 2017)

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. - Sirui Ding; Qiaoyu Tan; Chia-Yuan Chang 002; Na Zou 001; Kai Zhang 041; Nathan R. Hoot; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)