Publications
2021
Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction
Rohan Khera, Julian Haimovich, Nathan C Hurley, Robert McNamara, John A Spertus, Nihar Desai, John S Rumsfeld, Frederick A Masoudi, Chenxi Huang, Sharon-Lise Normand, Bobak J Mortazavi, Harlan M Krumholz
JAMA Cardiology
Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts
Nathan C Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph Ross, Nihar Desai, Nilay Shah, Sanket Dhruva, Bobak J. Mortazavi
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection
Jacob McPadden, Frederick Warner, H Patrick Young, Nathan C Hurley, Rebecca A Pulk, Avinainder Singh, Thomas JS Durant, Guannan Gong, Nihar Desai, Adrian Haimovich, Richard Andrew Taylor, Murat Gunel, Charles S Dela Cruz, Shelli F Farhadian, Jonathan Siner, Merceditas Villanueva, Keith Churchwell, Allen Hsiao, Charles J Torre Jr, Eric J Velazquez, Roy S Herbst, Akiko Iwasaki, Albert I Ko, Bobak J Mortazavi, Harlan M Krumholz, Wade L Schulz
PLOS ONE
2020
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
Sanket S Dhruva, Joseph S Ross, Bobak J Mortazavi, Nathan C Hurley, Harlan M Krumholz, Jeptha P Curtis, Alyssa Berkowitz, Frederick A Masoudi,John C Messenger, Craig S Parzynski, Che Ngufor, Saket Girotra, Amit P Amin, Nilay D Shah, Nihar R Desai
Journal of the American Medical Association
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 Transactions on Computing for Healthcare
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
Justin Lovelace, Nathan C Hurley, Adrian D Haimovich, Bobak J Mortazavi
Machine Learning for Healthcare Conference
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial NeuralNetworks
Lida Zhang, Nathan C Hurley, Bassem Ibrahim, Erica Spatz, Harlan M Krumholz, Roozbeh Jafari, Bobak J Mortazavi
Machine Learning for Healthcare Conference
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
Zepeng Huo, Arash PakBin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
23rd International Conference on Artificial Intelligence and Statistics (AISTATS)
2019
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Justin R Lovelace, Nathan C Hurley, Adrian D Haimovich, Bobak J Mortazavi
Machine Learning for Health (ML4H) at NeurIPS 2019
Sparse Embedding for Interpretable Hospital Admission Prediction
Zepeng Huo, Harinath Sundararajhan, Nathan C Hurley, Adrian Haimovich, R Andrew Taylor, Bobak J Mortazavi
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping
Nathan C Hurley, Adrian D Haimovich, R Andrew Taylor, Bobak J Mortazavi
2019 4th IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies
Mortality and Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock Undergoing Percutaneous Coronary Intervention With Impella® vs Intra-Aortic Balloon Pump
Sanket S Dhruva, Joseph S Ross, Bobak Mortazavi, Nathan C Hurley, Harlan M Krumholz, Jeptha P Curtis, Alyssa Berkowitz, Frederick A Masoudi, John C Messenger, Craig S Parzynski, Che Ngufor, Saket Girotra, Amit P Amin, Nilay D Shah, Nihar R Desai
Late-Breaking Science Abstracts and Featured Science Abstracts From the American Heart Association’s Scientific Sessions 2019 and Late-Breaking Abstracts in Resuscitation Science From the Resuscitation Science Symposium 2019
2018
Prediction of ICU Readmissions Using Data at Patient Discharge
Arash Pakbin, Parvez Rafi, Nathan C Hurley, Wade Schulz, M Harlan Krumholz, J Bobak Mortazavi
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2014
A Complete Configurational Ensemble Approach to Expand Lsd1/Corest Druggability
James C Robertson, Nathan C Hurley, Julie M Kneller, Nadeem A Vellore, Andrea Mattevi, Riccardo Baron
Biophysical Journal
2013
Indium (III) triflate—a catalyst for greener aromatic alkylation reactions
Ryan Mack, Grant Askins, Jacob Lowry, Nathan C Hurley, Perry C Reeves
Canadian Journal of Chemistry
Expanding the druggable space of the LSD1/CoREST epigenetic target: new potential binding regions for drug-like molecules, peptides, protein partners, and chromatin
James C Robertson, Nathan C Hurley, Marcello Tortorici, Giuseppe Ciossani, Maria Teresa Borrello, Nadeem A Vellore, A Ganesan, Andrea Mattevi, Riccardo Baron
PLOS Computational Biology