N. Hurley

发表

Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection

S. Farhadian, H. Krumholz, R. Herbst, 2020, medRxiv.

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

Roozbeh Jafari, Harlan M. Krumholz, Nathan C. Hurley, 2020, MLHC.

Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection

S. Farhadian, H. Krumholz, R. Herbst, 2021, PloS one.

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

Roozbeh Jafari, Harlan M. Krumholz, Nathan C. Hurley, 2020, ACM Trans. Comput. Heal..

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

Roozbeh Jafari, Harlan M. Krumholz, Nathan C. Hurley, 2019, ArXiv.

Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock.

J. Messenger, H. Krumholz, N. Desai, 2020, JAMA.

Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

J. Messenger, H. Krumholz, N. Desai, 2021, JAMA network open.

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

Xiaohan Chen, Bobak Mortazavi, Xiaoning Qian, 2020, AISTATS.

Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction.

S. Normand, H. Krumholz, J. Spertus, 2021, JAMA cardiology.

Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping pdf

Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi, 2019, Smart Health.

Prediction of ICU Readmissions Using Data at Patient Discharge

Bobak Mortazavi, Harlan M. Krumholz, Wade L. Schulz, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Machine-learning to Improve Prediction of Mortality following Acute Myocardial Infarction: An Assessment in the NCDR-Chest Pain-Myocardial Infarction Registry

S. Normand, H. Krumholz, J. Spertus, 2019, bioRxiv.

A dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention

S. Negahban, J. Rumsfeld, W. Schulz, 2021, medRxiv.

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

Nathan C. Hurley, Bobak J. Mortazavi, Sanket Dhruva, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

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

Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi, 2020, MLHC.

Explainable Prediction of Adverse Outcomes Using Clinical Notes pdf

Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, 2019, ArXiv.