| MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports AEW Johnson, TJ Pollard, SJ Berkowitz, NR Greenbaum, MP Lungren, ... Scientific Data, 2019 | 1818* | 2019 |
| MIMIC-IV, a freely accessible electronic health record dataset AEW Johnson, L Bulgarelli, L Shen, A Gayles, A Shammout, S Horng, ... Scientific data 10 (1), 1, 2023 | 1748* | 2023 |
| Learning a health knowledge graph from electronic medical records M Rotmensch, Y Halpern, A Tlimat, S Horng, D Sontag Scientific reports 7 (1), 5994, 2017 | 495 | 2017 |
| Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning S Horng, DA Sontag, Y Halpern, Y Jernite, NI Shapiro, LA Nathanson PloS one 12 (4), e0174708, 2017 | 305 | 2017 |
| Electronic medical record phenotyping using the anchor and learn framework Y Halpern, S Horng, Y Choi, D Sontag Journal of the American Medical Informatics Association 23 (4), 731-740, 2016 | 179 | 2016 |
| MIMIC-CXR-JPG-chest radiographs with structured labels A Johnson, M Lungren, Y Peng, Z Lu, R Mark, S Berkowitz, S Horng PhysioNet, 2019 | 81 | 2019 |
| Using anchors to estimate clinical state without labeled data Y Halpern, Y Choi, S Horng, D Sontag AMIA Annual Symposium Proceedings 2014, 606, 2014 | 77 | 2014 |
| Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ... PloS one 15 (3), e0229331, 2020 | 72 | 2020 |
| Joint modeling of chest radiographs and radiology reports for pulmonary edema assessment G Chauhan, R Liao, W Wells, J Andreas, X Wang, S Berkowitz, S Horng, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 69 | 2020 |
| Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph IY Chen, M Agrawal, S Horng, D Sontag Pac Symp Biocomput 25, 19-30, 2020 | 62 | 2020 |
| Risk of Intracranial Hemorrhage in Ground‐level Fall With Antiplatelet or Anticoagulant Agents M Ganetsky, G Lopez, T Coreanu, V Novack, S Horng, NI Shapiro, ... Academic emergency medicine 24 (10), 1258-1266, 2017 | 61 | 2017 |
| Prospective pilot study of a tablet computer in an Emergency Department S Horng, FR Goss, RS Chen, LA Nathanson International journal of medical informatics 81 (5), 314-319, 2012 | 58 | 2012 |
| Multimodal representation learning via maximization of local mutual information R Liao, D Moyer, M Cha, K Quigley, S Berkowitz, S Horng, P Golland, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 48 | 2021 |
| Improving Documentation of Presenting Problems in the Emergency Department using a Domain-specific Ontology and Machine Learning-Driven User Interfaces NR Greenbaum, Y Jernite, Y Halpern, S Calder, LA Nathanson, D Sontag, ... International Journal of Medical Informatics, 103981, 2019 | 48* | 2019 |
| A comparison of dimensionality reduction techniques for unstructured clinical text Y Halpern, S Horng, LA Nathanson, NI Shapiro, D Sontag Icml 2012 workshop on clinical data analysis 6, 2012 | 46 | 2012 |
| Deep learning to quantify pulmonary edema in chest radiographs S Horng, R Liao, X Wang, S Dalal, P Golland, SJ Berkowitz Radiology: Artificial Intelligence 3 (2), e190228, 2021 | 42 | 2021 |
| Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study L Appelbaum, JP Cambronero, JP Stevens, S Horng, K Pollick, G Silva, ... European Journal of Cancer 143, 19-30, 2021 | 41 | 2021 |
| Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ... PloS one 15 (4), e0230876, 2020 | 39 | 2020 |
| Mimic-iv. PhysioNet A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark MIT, Cambridge, USA 23, 2021, 2020 | 37 | 2020 |
| Predicting chief complaints at triage time in the emergency department Y Jernite, Y Halpern, S Horng, D Sontag NIPS 2013 Workshop on Machine Learning for Clinical Data Analysis and Healthcare, 2013 | 25 | 2013 |
Alistair JohnsonVerified email at mit.edu
