Nathan C. Hurley

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Wearable Sensors

Maxillofacial Surgery

Acute Coronary Syndrome

Top Venues

ACM Trans. Comput. Heal.

Publications

Nathan C. Hurley, Sanket S. Dhruva, Nihar Desai, Joseph R. Ross, Che Ngufor, Frederick Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. ACM Trans. Comput. Heal. 4 (4) (2023)
Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders. ACM Trans. Comput. Heal. 2 (1) (2021)
Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph Ross, Nihar Desai, Nilay Shah, Sanket Dhruva, Bobak J. Mortazavi
Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. BHI (2021)
Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. CoRR (2020)
Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. MLHC (2020)
Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS (2020)
Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. CoRR (2020)
Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. MLHC (2020)
Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR (2020)
Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders. CoRR (2019)
Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi
Explainable Prediction of Adverse Outcomes Using Clinical Notes. CoRR (2019)
Zepeng Huo, Harinath Sundararajhan, Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi
Sparse Embedding for Interpretable Hospital Admission Prediction. EMBC (2019)
Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping. CoRR (2019)