| Quick sepsis-related organ failure assessment, systemic inflammatory response syndrome, and early warning scores for detecting clinical deterioration in infected patients … MM Churpek, A Snyder, X Han, S Sokol, N Pettit, MD Howell, DP Edelson American journal of respiratory and critical care medicine 195 (7), 906-911, 2017 | 829 | 2017 |
| Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards MM Churpek, TC Yuen, C Winslow, DO Meltzer, MW Kattan, DP Edelson Critical care medicine 44 (2), 368-374, 2016 | 678 | 2016 |
| Incidence and prognostic value of the systemic inflammatory response syndrome and organ dysfunctions in ward patients MM Churpek, FJ Zadravecz, C Winslow, MD Howell, DP Edelson American journal of respiratory and critical care medicine 192 (8), 958-964, 2015 | 504 | 2015 |
| Big data and data science in critical care LN Sanchez-Pinto, Y Luo, MM Churpek Chest 154 (5), 1239-1248, 2018 | 360 | 2018 |
| The development of a machine learning inpatient acute kidney injury prediction model JL Koyner, KA Carey, DP Edelson, MM Churpek Critical care medicine 46 (7), 1070-1077, 2018 | 349 | 2018 |
| Comparison of variable selection methods for clinical predictive modeling LN Sanchez-Pinto, LR Venable, J Fahrenbach, MM Churpek International journal of medical informatics 116, 10-17, 2018 | 317 | 2018 |
| Multicenter development and validation of a risk stratification tool for ward patients MM Churpek, TC Yuen, C Winslow, AA Robicsek, DO Meltzer, ... American journal of respiratory and critical care medicine 190 (6), 649-655, 2014 | 305 | 2014 |
| The value of vital sign trends for detecting clinical deterioration on the wards MM Churpek, R Adhikari, DP Edelson Resuscitation 102, 1-5, 2016 | 283 | 2016 |
| Understanding why patients with COPD get readmitted: a large national study to delineate the Medicare population for the readmissions penalty expansion T Shah, MM Churpek, MC Perraillon, RT Konetzka Chest 147 (5), 1219-1226, 2015 | 273 | 2015 |
| Rapid response systems PG Lyons, DP Edelson, MM Churpek Resuscitation 128, 191-197, 2018 | 256 | 2018 |
| Sharing ICU patient data responsibly under the society of critical care medicine/European society of intensive care medicine joint data science collaboration: the Amsterdam … PJ Thoral, JM Peppink, RH Driessen, EJG Sijbrands, EJO Kompanje, ... Critical care medicine 49 (6), e563-e577, 2021 | 241 | 2021 |
| Derivation of a cardiac arrest prediction model using ward vital signs MM Churpek, TC Yuen, SY Park, DO Meltzer, JB Hall, DP Edelson Critical care medicine 40 (7), 2102-2108, 2012 | 240 | 2012 |
| Predicting cardiac arrest on the wards: a nested case-control study MM Churpek, TC Yuen, MT Huber, SY Park, JB Hall, DP Edelson Chest 141 (5), 1170-1176, 2012 | 229 | 2012 |
| Predicting intensive care unit readmission with machine learning using electronic health record data JC Rojas, KA Carey, DP Edelson, LR Venable, MD Howell, MM Churpek Annals of the American Thoracic Society 15 (7), 846-853, 2018 | 219 | 2018 |
| Identifying novel sepsis subphenotypes using temperature trajectories SV Bhavani, KA Carey, ER Gilbert, M Afshar, PA Verhoef, MM Churpek American journal of respiratory and critical care medicine 200 (3), 327-335, 2019 | 216 | 2019 |
| Comparison of early warning scoring systems for hospitalized patients with and without infection at risk for in-hospital mortality and transfer to the intensive care unit VX Liu, Y Lu, KA Carey, ER Gilbert, M Afshar, M Akel, NS Shah, J Dolan, ... JAMA network open 3 (5), e205191-e205191, 2020 | 204 | 2020 |
| Risk stratification of hospitalized patients on the wards MM Churpek, TC Yuen, DP Edelson Chest 143 (6), 1758-1765, 2013 | 196 | 2013 |
| Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards MM Churpek, TC Yuen, SY Park, R Gibbons, DP Edelson Critical care medicine 42 (4), 841-848, 2014 | 184 | 2014 |
| Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU P Kipnis, BJ Turk, DA Wulf, JC LaGuardia, V Liu, MM Churpek, ... Journal of biomedical informatics 64, 10-19, 2016 | 183 | 2016 |
| Machine learning classifier models can identify acute respiratory distress syndrome phenotypes using readily available clinical data P Sinha, MM Churpek, CS Calfee American journal of respiratory and critical care medicine 202 (7), 996-1004, 2020 | 179 | 2020 |
