| Quantifying and understanding the higher risk of atherosclerotic cardiovascular disease among south Asian individuals: results from the UK Biobank prospective cohort study AP Patel, M Wang, U Kartoun, K Ng, AV Khera Circulation, 2021 | 98 | 2021 |
| Development and validation of an algorithm to identify nonalcoholic fatty liver disease in the electronic medical record KE Corey, U Kartoun, H Zheng, SY Shaw Digestive Diseases and Sciences, 2016 | 83 | 2016 |
| Real-time hand gesture telerobotic system using fuzzy c-means clustering J Wachs, U Kartoun, H Stern, Y Edan Proceedings of the 5th Biannual World Automation Congress 13, 403-409, 2002 | 67 | 2002 |
| The MELD-Plus: A generalizable prediction risk score in cirrhosis U Kartoun, KE Corey, TG Simon, H Zheng, R Aggarwal, K Ng, SY Shaw PLOS ONE 12 (10), e0186301, 2017 | 65 | 2017 |
| A human-robot collaborative reinforcement learning algorithm U Kartoun, H Stern, Y Edan Journal of Intelligent & Robotic Systems 60, 217-239, 2010 | 61 | 2010 |
| A device and method for detecting an epileptic event U Kramer, A Shaham, S Shpitalnik, N Weissman, Y Goren, U Kartoun US Patent 8,109,891, 2012 | 56 | 2012 |
| Vision-based autonomous robot self-docking and recharging U Kartoun, H Stern, Y Edan, C Feied, J Handler, M Smith, M Gillam ISORA 2006 11th International Symposium on Robotics and Applications …, 2006 | 50 | 2006 |
| Performance of atrial fibrillation risk prediction models in over four million individuals S Khurshid, U Kartoun, JM Ashburner, L Trinquart, A Philippakis, ... Circulation: Arrhythmia and Electrophysiology, 2020 | 33* | 2020 |
| Using an electronic medical records database to identify non-traditional cardiovascular risk factors in nonalcoholic fatty liver disease KE Corey, U Kartoun, H Zheng, RT Chung, SY Shaw The American Journal of Gastroenterology 111 (5), 671-676, 2016 | 32 | 2016 |
| Verifying medical conditions of patients in electronic medical records U Kartoun, K Ng US Patent App. 15/849,255, 2019 | 31 | 2019 |
| Use of chronic oral anticoagulation and associated outcomes among patients undergoing percutaneous coronary intervention EA Secemsky, NM Butala, U Kartoun, S Mahmood, JH Wasfy, ... Journal of the American Heart Association 5 (10), e004310, 2016 | 29 | 2016 |
| Personalized treatment options for chronic diseases using precision cohort analytics K Ng, U Kartoun, H Stavropoulos, JA Zambrano, PC Tang Scientific reports 11 (1), 1139, 2021 | 26 | 2021 |
| Predictive modeling of physician-patient dynamics that influence sleep medication prescriptions and clinical decision-making AL Beam, U Kartoun, JK Pai, AK Chatterjee, TP Fitzgerald, SY Shaw, ... Scientific Reports 7, 2017 | 24 | 2017 |
| Development of an algorithm to identify patients with physician-documented insomnia U Kartoun, R Aggarwal, AL Beam, JK Pai, AK Chatterjee, TP Fitzgerald, ... Scientific reports 8 (1), 7862, 2018 | 22 | 2018 |
| Natural language processing improves phenotypic accuracy in an electronic medical record cohort of type 2 diabetes and cardiovascular disease V Kumar, K Liao, SC Cheng, S Yu, U Kartoun, A Brettman, V Gainer, ... Journal of the American College of Cardiology 63 (12 Supplement), A1359, 2014 | 20 | 2014 |
| A methodology to generate virtual patient repositories U Kartoun arXiv preprint arXiv:1608.00570, 2016 | 19 | 2016 |
| System and method for detection of disease breakouts U Kartoun, M Pore, F Lu US Patent 10,362,769, 2019 | 16 | 2019 |
| Precision population analytics: population management at the point-of-care PC Tang, S Miller, H Stavropoulos, U Kartoun, J Zambrano, K Ng Journal of the American Medical Informatics Association 28 (3), 588-595, 2021 | 15 | 2021 |
| Identifying unreliable predictions in clinical risk models PD Myers, K Ng, K Severson, U Kartoun, W Dai, W Huang, FA Anderson, ... NPJ digital medicine 3 (1), 8, 2020 | 15 | 2020 |
| Automated clustering for patient disposition MT Gillam, RR Cazangi, AP Kontsevoy, U Kartoun, HF Wu US Patent 8,589,187, 2013 | 15 | 2013 |
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