| 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 … SS Dhruva, JS Ross, BJ Mortazavi, NC Hurley, HM Krumholz, JP Curtis, ... JAMA 323 (8), 734-745, 2020 | 319 | 2020 |
| Use of machine learning models to predict death after acute myocardial infarction R Khera, J Haimovich, NC Hurley, R McNamara, JA Spertus, N Desai, ... JAMA cardiology 6 (6), 633-641, 2021 | 133 | 2021 |
| Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock SS Dhruva, JS Ross, BJ Mortazavi, NC Hurley, HM Krumholz, JP Curtis, ... JAMA Network Open 4 (2), e2037748-e2037748, 2021 | 64 | 2021 |
| Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection J McPadden, F Warner, HP Young, NC Hurley, RA Pulk, A Singh, ... Plos one 16 (3), e0243291, 2021 | 47 | 2021 |
| Expanding the druggable space of the LSD1/CoREST epigenetic target: new potential binding regions for drug-like molecules, peptides, protein partners, and chromatin JC Robertson, NC Hurley, M Tortorici, G Ciossani, MT Borrello, ... PLoS Comput Biol 9 (7), e1003158, 2013 | 37 | 2013 |
| Prediction of ICU Readmissions Using Data at Patient Discharge A Pakbin, P Rafi, N Hurley, W Schulz, MH Krumholz, JB Mortazavi 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 35 | 2018 |
| Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks L Zhang, NC Hurley, B Ibrahim, E Spatz, HM Krumholz, R Jafari, ... Machine Learning for Healthcare Conference, 97-120, 2020 | 21 | 2020 |
| Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery Z Huo, A Pakbin, X Chen, N Hurley, Y Yuan, X Qian, Z Wang, S Huang, ... International Conference on Artificial Intelligence and Statistics, 3894--3904, 2020 | 17 | 2020 |
| Visualization of emergency department clinical data for interpretable patient phenotyping NC Hurley, AD Haimovich, RA Taylor, BJ Mortazavi Smart Health 25, 100285, 2022 | 10 | 2022 |
| Indium (III) triflate—a catalyst for greener aromatic alkylation reactions R Mack, G Askins, J Lowry, N Hurley, PC Reeves Canadian Journal of Chemistry 91 (12), 1262-1265, 2013 | 6 | 2013 |
| Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention J Lovelace, NC Hurley, AD Haimovich, BJ Mortazavi Machine Learning for Healthcare Conference, 245-270, 2020 | 5 | 2020 |
| Sparse Embedding for Interpretable Hospital Admission Prediction Z Huo, H Sundararajhan, NC Hurley, A Haimovich, RA Taylor, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
| Would doctors dream of electric blood bankers? Large language model‐based artificial intelligence performs well in many aspects of transfusion medicine NC Hurley, KM Schroeder, AS Hess Transfusion 63 (10), 1833-1840, 2023 | 4 | 2023 |
| A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders NC Hurley, ES Spatz, HM Krumholz, R Jafari, BJ Mortazavi ACM Transactions on Computing for Healthcare 2 (1), 1-42, 2020 | 4 | 2020 |
| Explainable Prediction of Adverse Outcomes Using Clinical Notes JR Lovelace, NC Hurley, AD Haimovich, BJ Mortazavi arXiv preprint arXiv:1910.14095, 2019 | 4 | 2019 |
| A dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention NC Hurley, N Desai, SS Dhruva, R Khera, W Schulz, C Huang, J Curtis, ... medRxiv, 2021.12. 17.21267935, 2021 | 2 | 2021 |
| Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts NC Hurley, A Berkowitz, F Masoudi, J Ross, N Desai, N Shah, S Dhruva, ... 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 2 | 2021 |
| Mortality and Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock Undergoing Percutaneous Coronary Intervention With Impella (R) vs Intra … S Dhruva, JS Ross, B Mortazavi, N Hurley, HM Krumholz, JP Curtis, ... CIRCULATION 140 (25), E983-E984, 2019 | 2 | 2019 |
| Reply:‘Danger, Danger, Gaston Labat! Does zero-shot artificial intelligence correlate with anticoagulation guideline recommendations for neuraxial anesthesia?’ NC Hurley, RK Gupta, KM Schroeder, AS Hess Regional Anesthesia & Pain Medicine, 2024 | | 2024 |
| Can artificial intelligence make clinical decisions in regional anesthesia? An infographic NC Hurley, ES Schwenk Regional Anesthesia & Pain Medicine, 2024 | | 2024 |
Bobak J. MortazaviComputer Science & Engineering, Texas A&MVerified email at tamu.edu
