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Nathan C. Hurley
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2020 – today
- 2023
- [j2]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): 21:1-21:18 (2023) - 2021
- [j1]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): 9:1-9:42 (2021) - [c5]Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph S. Ross, Nihar Desai, Nilay Shah, Sanket S. Dhruva, Bobak J. Mortazavi:
Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. BHI 2021: 1-4 - 2020
- [c4]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: 3894-3904 - [c3]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: 97-120 - [c2]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: 245-270 - [i6]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 abs/2003.01753 (2020) - [i5]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 abs/2007.12802 (2020) - [i4]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 abs/2008.01197 (2020)
2010 – 2019
- 2019
- [c1]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: 3438-3441 - [i3]Nathan C. Hurley, Adrian D. Haimovich, R. Andrew Taylor, Bobak J. Mortazavi:
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping. CoRR abs/1907.11039 (2019) - [i2]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 abs/1908.06170 (2019) - [i1]Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi:
Explainable Prediction of Adverse Outcomes Using Clinical Notes. CoRR abs/1910.14095 (2019)
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