| Prediction of sepsis in the intensive care unit with minimal electronic health record data: a machine learning approach T Desautels, J Calvert, J Hoffman, M Jay, Y Kerem, L Shieh, ... JMIR medical informatics 4 (3), e5909, 2016 | 468 | 2016 |
| Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU Q Mao, M Jay, JL Hoffman, J Calvert, C Barton, D Shimabukuro, L Shieh, ... BMJ open 8 (1), e017833, 2018 | 297 | 2018 |
| A computational approach to early sepsis detection JS Calvert, DA Price, UK Chettipally, CW Barton, MD Feldman, ... Computers in biology and medicine 74, 69-73, 2016 | 255 | 2016 |
| VEGF modulates erythropoiesis through regulation of adult hepatic erythropoietin synthesis BYY Tam, K Wei, JS Rudge, J Hoffman, J Holash, S Park, J Yuan, ... Nature medicine 12 (7), 793-800, 2006 | 178 | 2006 |
| Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial H Burdick, C Lam, S Mataraso, A Siefkas, G Braden, RP Dellinger, ... Computers in biology and medicine 124, 103949, 2020 | 150 | 2020 |
| Adenoviral gene transfer with soluble vascular endothelial growth factor receptors impairs angiogenesis and perfusion in a murine model of hindlimb ischemia J Jacobi, BYY Tam, G Wu, J Hoffman, JP Cooke, CJ Kuo Circulation 110 (16), 2424-2429, 2004 | 103 | 2004 |
| Using electronic health record collected clinical variables to predict medical intensive care unit mortality J Calvert, Q Mao, JL Hoffman, M Jay, T Desautels, H Mohamadlou, ... Annals of medicine and surgery 11, 52-57, 2016 | 84 | 2016 |
| Pediatric severe sepsis prediction using machine learning S Le, J Hoffman, C Barton, JC Fitzgerald, A Allen, E Pellegrini, J Calvert, ... Frontiers in pediatrics 7, 413, 2019 | 80 | 2019 |
| Wnts as essential growth factors for the adult small intestine and colon J Hoffman, M Lee, CR Davis, CJ Kuo Cell cycle 3 (5), 552-555, 2004 | 80 | 2004 |
| Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS) S Le, E Pellegrini, A Green-Saxena, C Summers, J Hoffman, J Calvert, ... Journal of Critical Care 60, 96-102, 2020 | 76 | 2020 |
| Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study L Ryan, C Lam, S Mataraso, A Allen, A Green-Saxena, E Pellegrini, ... Annals of Medicine and Surgery 59, 207-216, 2020 | 75 | 2020 |
| Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data … H Burdick, E Pino, D Gabel-Comeau, A McCoy, C Gu, J Roberts, S Le, ... BMJ health & care informatics 27 (1), 2020 | 62 | 2020 |
| Using transfer learning for improved mortality prediction in a data-scarce hospital setting T Desautels, J Calvert, J Hoffman, Q Mao, M Jay, G Fletcher, C Barton, ... Biomedical informatics insights 9, 1178222617712994, 2017 | 61 | 2017 |
| High-performance detection and early prediction of septic shock for alcohol-use disorder patients J Calvert, T Desautels, U Chettipally, C Barton, J Hoffman, M Jay, Q Mao, ... Annals of medicine and surgery 8, 50-55, 2016 | 59 | 2016 |
| Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus A Allen, Z Iqbal, A Green-Saxena, M Hurtado, J Hoffman, Q Mao, R Das BMJ Open Diabetes Research and Care 10 (1), e002560, 2022 | 47 | 2022 |
| A racially unbiased, machine learning approach to prediction of mortality: algorithm development study A Allen, S Mataraso, A Siefkas, H Burdick, G Braden, RP Dellinger, ... JMIR public health and surveillance 6 (4), e22400, 2020 | 44 | 2020 |
| Machine-learning-based laboratory developed test for the diagnosis of sepsis in high-risk patients J Calvert, N Saber, J Hoffman, R Das Diagnostics 9 (1), 20, 2019 | 37 | 2019 |
| Zebrafish Thsd7a is a neural protein required for angiogenic patterning during development CH Wang, IH Chen, MW Kuo, PT Su, ZY Lai, CH Wang, WC Huang, ... Developmental Dynamics 240 (6), 1412-1421, 2011 | 37 | 2011 |
| Convolutional neural network model for intensive care unit acute kidney injury prediction S Le, A Allen, J Calvert, PM Palevsky, G Braden, S Patel, E Pellegrini, ... Kidney international reports 6 (5), 1289-1298, 2021 | 33 | 2021 |
| Cost and mortality impact of an algorithm-driven sepsis prediction system J Calvert, J Hoffman, C Barton, D Shimabukuro, M Ries, U Chettipally, ... Journal of medical economics 20 (6), 646-651, 2017 | 30 | 2017 |
