| Predicting intensive care delirium with machine learning: Model development and external validation KD Gong, R Lu, TS Bergamaschi, A Sanyal, J Guo, HB Kim, HT Nguyen, ... Anesthesiology 138 (3), 299-311, 2023 | 14 | 2023 |
| Characterization of the electrophysiologic remodeling of patients with ischemic cardiomyopathy by clinical measurements and computer simulations coupled with machine learning KN Aronis, A Prakosa, T Bergamaschi, RD Berger, PM Boyle, J Chrispin, ... Frontiers in Physiology 12, 684149, 2021 | 11 | 2021 |
| 1051 Patrick M Boyle, Jonathan Chrispin, Suyeon Ju, Joseph E Marine, Sunil Sinha, 1052 Harikrishna Tandri, Hiroshi Ashikaga, and Natalia A Trayanova KN Aronis, A Prakosa, T Bergamaschi, RD Berger Characterization, 0 | 2 | |
| Machine learning for health (ml4h) 2022 A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ... Machine Learning for Health, 1-11, 2022 | 1 | 2022 |
| Customized gaming system engages young children in reaching and balance training S Parise, K Lee, J Park, C Sullivan, R Schlesinger, M Li, S Ramesh, ... Journal of Rehabilitation and Assistive Technologies Engineering 10 …, 2023 | | 2023 |
| Rationale: Patients with ischemic cardiomyopathy (ICMP) are at high risk for malignant arrhythmias, largely due to electrophysiological remodeling of the non-infarcted … KN Aronis, A Prakosa, T Bergamaschi, RD Berger, PM Boyle, J Chrispin, ... Artificial Intelligence in Heart Modelling, 2022 | | 2022 |
| Machine Learning for Intensive Care Delirium Prediction KD Gong, R Lu, T Bergamaschi, A Sanyal, J Guo, H Kim, RD Stevens ANESTHESIA AND ANALGESIA 132 (5 S_ SUPPL), 590-593, 2021 | | 2021 |
| 27: Machine Learning Prediction of Intensive Care Unit Delirium K Gong, R Lu, T Bergamaschi, A Sanyal, J Guo, H Kim, R Stevens Critical Care Medicine 49 (1), 14, 2021 | | 2021 |
| 743: Computational Endotypes of ICU Delirium K Gong, R Lu, J Guo, T Bergamaschi, A Sanyal, H Kim, R Stevens Critical Care Medicine 49 (1), 368, 2021 | | 2021 |
