Nathan C. Hurley

According to our database, Nathan C. Hurley authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation.

Nathan C. Hurley, Sanket S. Dhruva, Nihar Desai, Joseph R. Ross, Che Ngufor, Frederick Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi

ACM Trans. Comput. Heal., October, 2023

2021

A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders.

Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi

ACM Trans. Comput. Heal., 2021

Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts.

Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph S. Ross, Nihar Desai, Nilay Shah, Sanket S. Dhruva, Bobak J. Mortazavi

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.

Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi

Proceedings of the Machine Learning for Healthcare Conference, 2020

Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention.

Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi

Proceedings of the Machine Learning for Healthcare Conference, 2020

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.

Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Explainable Prediction of Adverse Outcomes Using Clinical Notes.

Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi

CoRR, 2019

A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders.

Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi

CoRR, 2019

Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping.

Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi

CoRR, 2019

Sparse Embedding for Interpretable Hospital Admission Prediction.

Zepeng Huo, Harinath Sundararajhan, Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019