| MIMIC-III, a freely accessible critical care database AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ... Scientific data 3, 160035, 2016 | 7603 | 2016 |
| The eICU Collaborative Research Database, a freely available multi-center database for critical care research TJ Pollard, AEW Johnson, JD Raffa, LA Celi, RG Mark, O Badawi Scientific data 5 (1), 1-13, 2018 | 1240 | 2018 |
| 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 6 (1), 317, 2019 | 975 | 2019 |
| Mimic-iv A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark PhysioNet. Available online at: https://physionet. org/content/mimiciv/1.0 …, 2020 | 885 | 2020 |
| AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017 GD Clifford, C Liu, B Moody, HL Li-wei, I Silva, Q Li, AE Johnson, RG Mark 2017 Computing in Cardiology (CinC), 1-4, 2017 | 834 | 2017 |
| MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs AEW Johnson, TJ Pollard, NR Greenbaum, MP Lungren, C Deng, Y Peng, ... arXiv preprint arXiv:1901.07042, 2019 | 790 | 2019 |
| An open access database for the evaluation of heart sound algorithms C Liu, D Springer, Q Li, B Moody, RA Juan, FJ Chorro, F Castells, JM Roig, ... Physiological measurement 37 (12), 2181, 2016 | 691 | 2016 |
| 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 | 677 | 2023 |
| Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts A Serpa Neto, RO Deliberato, AEW Johnson, LD Bos, P Amorim, ... Intensive care medicine 44, 1914-1922, 2018 | 458 | 2018 |
| Machine learning and decision support in critical care AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ... Proceedings of the IEEE 104 (2), 444-466, 2016 | 425 | 2016 |
| The MIMIC Code Repository: enabling reproducibility in critical care research AEW Johnson, DJ Stone, LA Celi, TJ Pollard Journal of the American Medical Informatics Association 25 (1), 32-39, 2018 | 397 | 2018 |
| Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review PH Charlton, DA Birrenkott, T Bonnici, MAF Pimentel, AEW Johnson, ... IEEE reviews in biomedical engineering 11, 2-20, 2017 | 362 | 2017 |
| Toward a robust estimation of respiratory rate from pulse oximeters MAF Pimentel, AEW Johnson, PH Charlton, D Birrenkott, PJ Watkinson, ... IEEE Transactions on Biomedical Engineering 64 (8), 1914-1923, 2016 | 362 | 2016 |
| MIMIC-III clinical database (version 1.4) A Johnson, T Pollard, R Mark PhysioNet 10 (C2XW26), 2, 2016 | 255 | 2016 |
| A new severity of illness scale using a subset of acute physiology and chronic health evaluation data elements shows comparable predictive accuracy AEW Johnson, AA Kramer, GD Clifford Critical care medicine 41 (7), 1711-1718, 2013 | 251 | 2013 |
| A comparison of single channel fetal ECG extraction methods J Behar, A Johnson, GD Clifford, J Oster Annals of biomedical engineering 42, 1340-1353, 2014 | 208 | 2014 |
| MIMIC-III, a freely accessible critical care database Sci AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ... Data 3 (1), 1, 2016 | 205 | 2016 |
| A comparative analysis of sepsis identification methods in an electronic database AEW Johnson, J Aboab, JD Raffa, TJ Pollard, RO Deliberato, LA Celi, ... Critical care medicine 46 (4), 494-499, 2018 | 187 | 2018 |
| Reproducibility in critical care: a mortality prediction case study AEW Johnson, TJ Pollard, RG Mark Machine learning for healthcare conference, 361-376, 2017 | 181 | 2017 |
| Semisupervised ECG ventricular beat classification with novelty detection based on switching Kalman filters J Oster, J Behar, O Sayadi, S Nemati, AEW Johnson, GD Clifford IEEE Transactions on Biomedical Engineering 62 (9), 2125-2134, 2015 | 150 | 2015 |
Tom PollardMassachusetts Institute of TechnologyBestätigte E-Mail-Adresse bei mit.edu
