| External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients A Wong, E Ötleş, JP Donnelly, A Krumm, J McCullough, ... JAMA Internal Medicine 181 (8), 1065-1070, 2021 | 395 | 2021 |
| Evaluating a widely implemented proprietary deterioration index model among hospitalized patients with COVID-19 K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ... Annals of the American Thoracic Society 18 (7), 1129-1137, 2021 | 95* | 2021 |
| The impact of emergency department census on the decision to admit JK Gorski, RJ Batt, E Otles, MN Shah, AG Hamedani, BW Patterson Academic Emergency Medicine 24 (1), 13-21, 2017 | 50 | 2017 |
| Human factors WHO, T Wetterneck, R Holden, J Beasley, E Otles World Health Organization, 2016 | 48* | 2016 |
| Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study F Kamran, S Tang, E Otles, DS McEvoy, SN Saleh, J Gong, BY Li, S Dutta, ... bmj 376, 2022 | 39 | 2022 |
| Quantification of sepsis model alerts in 24 US hospitals before and during the COVID-19 pandemic A Wong, J Cao, PG Lyons, S Dutta, VJ Major, E Ötleş, K Singh JAMA Network Open 4 (11), e2135286-e2135286, 2021 | 39 | 2021 |
| Cherry picking patients: examining the interval between patient rooming and resident self‐assignment BW Patterson, RJ Batt, MD Wilbanks, E Otles, MC Westergaard, MN Shah Academic Emergency Medicine 23 (6), 679-684, 2016 | 28 | 2016 |
| Natural language processing and assessment of resident feedback quality QP Solano, L Hayward, Z Chopra, K Quanstrom, D Kendrick, KL Abbott, ... Journal of Surgical Education 78 (6), e72-e77, 2021 | 26 | 2021 |
| Using natural language processing to automatically assess feedback quality: Findings from 3 surgical residencies E Ötleş, DE Kendrick, QP Solano, M Schuller, SL Ahle, MH Eskender, ... Academic Medicine 96 (10), 1457-1460, 2021 | 22 | 2021 |
| Mind the performance gap: examining dataset shift during prospective validation E Ötleş, J Oh, B Li, M Bochinski, H Joo, J Ortwine, E Shenoy, L Washer, ... Machine Learning for Healthcare Conference, 506-534, 2021 | 18 | 2021 |
| Teaching artificial intelligence as a fundamental toolset of medicine E Ötleş, CA James, KD Lomis, JO Woolliscroft Cell Reports Medicine 3 (12), 2022 | 17 | 2022 |
| Natural language processing to estimate clinical competency committee ratings KL Abbott, BC George, G Sandhu, CM Harbaugh, PG Gauger, E Ötleş, ... Journal of Surgical Education 78 (6), 2046-2051, 2021 | 10 | 2021 |
| Development and validation of models to predict pathological outcomes of radical prostatectomy in regional and national cohorts E Ötleş, BT Denton, B Qu, A Murali, S Merdan, GB Auffenberg, SC Hiller, ... The Journal of urology 207 (2), 358-366, 2022 | 9 | 2022 |
| It's time to bring human factors to primary care policy and practice JW Beasley, RJ Holden, E Ötleş, LA Green, LM Steege, TB Wetterneck Applied Ergonomics 85, 103077, 2020 | 9 | 2020 |
| External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients JAMA Intern Med, 181 (2021) A Wong, E Otles, JP Donnelly, A Krumm, J McCullough, ... CrossRef View in Scopus, 1065-1070, 0 | 7 | |
| Using natural language processing to determine factors associated with high-quality feedback KM Marcotte, E Ötleş, AE Thelen, R Gates, BC George, AE Krumm Global Surgical Education-Journal of the Association for Surgical Education …, 2022 | 5 | 2022 |
| External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients. JAMA Internal Medicine 181, 8 (Aug. 2021), 1065–1070 A Wong, E Otles, JP Donnelly, A Krumm, J McCullough, ... CrossRef View in Scopus, 1065, 2021 | 5 | 2021 |
| Clostridioides difficile infection surveillance in intensive care units and oncology wards using machine learning E Ötleş, EA Balczewski, M Keidan, J Oh, A Patel, VB Young, K Rao, ... Infection Control & Hospital Epidemiology 44 (11), 1776-1781, 2023 | 3 | 2023 |
| Laraine Washer, Vincent B Young, Krishna Rao, et al. Mind the performance gap: examining dataset shift during prospective validation E Otles, J Oh, B Li, M Bochinski, H Joo, J Ortwine, E Shenoy Machine Learning for Healthcare Conference, 506-534, 0 | 3 | |
| Association of Gender and Operative Feedback Quality in Surgical Residents RS Gates, K Marcotte, R Moreci, BC George, GJ Kim, KH Kraft, T Soltani, ... Journal of Surgical Education 80 (11), 1516-1521, 2023 | 2 | 2023 |
Karandeep SinghJacobs Chancellor's Endowed Chair and Chief Health AI Officer, University of California, San DiegoVerified email at ucsd.edu
