Nathan C. Hurley

13 papers A 1Journal 8Unranked 4

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