| A targeted real-time early warning score (TREWScore) for septic shock KE Henry, DN Hager, PJ Pronovost, S Saria Science translational medicine 7 (299), 299ra122-299ra122, 2015 | 626 | 2015 |
| Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis R Adams, KE Henry, A Sridharan, H Soleimani, A Zhan, N Rawat, ... Nature medicine 28 (7), 1455-1460, 2022 | 168 | 2022 |
| Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings K Levin, K Henry, A Jansen, K Livescu 2013 IEEE workshop on automatic speech recognition and understanding, 410-415, 2013 | 143 | 2013 |
| Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system KE Henry, R Kornfield, A Sridharan, RC Linton, C Groh, T Wang, A Wu, ... NPJ digital medicine 5 (1), 97, 2022 | 117 | 2022 |
| Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing KE Henry, R Adams, C Parent, H Soleimani, A Sridharan, L Johnson, ... Nature medicine 28 (7), 1447-1454, 2022 | 70 | 2022 |
| Too many definitions of sepsis: can machine learning leverage the electronic health record to increase accuracy and bring consensus? S Saria, KE Henry Critical care medicine 48 (2), 137-141, 2020 | 29 | 2020 |
| Comparison of automated sepsis identification methods and electronic health record–based sepsis phenotyping: improving case identification accuracy by accounting for … KE Henry, DN Hager, TM Osborn, AW Wu, S Saria Critical care explorations 1 (10), e0053, 2019 | 24 | 2019 |
| Can Septic Shock Be Identified Early? Evaluating Performance Of A Targeted Real-Time Early Warning Score (trewscore) For Septic Shock In A Community Hospital: Global And … K Henry, S Wongvibulsin, A Zhan, S Saria, D Hager Am J Respir Crit Care Med 195, A7016, 2017 | 15 | 2017 |
| A targeted real-time early warning score (TREWScore) for septic shock. Sci Transl Med. 2015; 7 (299): 299ra122 KE Henry, DN Hager, PJ Pronovost, S Saria Journal of Critical Care 30, 1412, 2015 | 15 | 2015 |
| Domain adaptation in machine translation M Carpuat, III Hal Daumé, A Fraser, C Quirk, F Braune, A Clifton, A Irvine, ... 2012 Johns Hopkins summer workshop final report, 61-72, 2012 | 14 | 2012 |
| Sensespotting: Never let your parallel data tie you to an old domain M Carpuat, H Daumé III, K Henry, A Irvine, J Jagarlamudi, R Rudinger Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 12 | 2013 |
| 63: Rews: Real-time early warning score for septic shock K Henry, C Paxton, KS Kim, J Pham, S Saria Critical Care Medicine 42 (12), A1384, 2014 | 10 | 2014 |
| Quantifying and visualizing medication adherence in patients following acute myocardial infarction J Wang, S Wongvibulsin, K Henry, S Fujita AMIA Annual Symposium Proceedings 2017, 2299, 2018 | 6 | 2018 |
| Automatic Measurement of Positive and Negative Voice Onset Time. K Henry, M Sonderegger, J Keshet INTERSPEECH, 871-874, 2012 | 5 | 2012 |
| Early Warning Systems for Critical Illness Outside the Intensive Care Unit KE Henry, HM Giannini Critical Care Clinics 40 (3), 561-581, 2024 | 2 | 2024 |
| 1405: assessing clinical use and performance of a machine learning sepsis alert for sex and racial bias R Adams, K Henry, H Soleimani, N Rawat, M Saheed, E Chen, A Wu, ... Critical Care Medicine 50 (1), 705, 2022 | 2 | 2022 |
| 1429: lead time and accuracy of TREWS, a machine learning-based sepsis alert S Saria, K Henry, H Soleimani, R Adams, A Zhan, N Rawat, E Chen, A Wu Critical Care Medicine 50 (1), 717, 2022 | 2 | 2022 |
| Evaluating adoption, impact, and factors driving adoption for TREWS, a machine learning-based sepsis alerting system KE Henry, R Adams, C Parent, A Sridharan, L Johnson, DN Hager, ... medRxiv, 2021.07. 02.21259941, 2021 | 2 | 2021 |
| Early Identification Of Gastrointestinal Bleeding Requiring Critical Care Using Machine Learning H Soleimani, K Henry, A Zhan, P Pronovost, N Rawat, D Hager, S Saria Am J Respir Crit Care Med 195, A7145, 2017 | 2 | 2017 |
| Addressing the ‘coin flip model’and the role of ‘process of care’variables in the analysis of TREWS R Adams, KE Henry, S Saria medRxiv, 2022.09. 13.22279688, 2022 | | 2022 |
