| MIMIC-III, a freely accessible critical care database AEW Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ... Scientific data 3 (1), 1-9, 2016 | 5162 | 2016 |
| 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 | 331 | 2016 |
| Detecting Depression with Audio/Text Sequence Modeling of Interviews. T Al Hanai, MM Ghassemi, JR Glass Interspeech, 1716-1720, 2018 | 198 | 2018 |
| Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach S Nemati, MM Ghassemi, GD Clifford 2016 38th annual international conference of the IEEE engineering in …, 2016 | 168 | 2016 |
| Monitoring and detecting atrial fibrillation using wearable technology S Nemati, MM Ghassemi, V Ambai, N Isakadze, O Levantsevych, A Shah, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 126 | 2016 |
| You snooze, you win: the physionet/computing in cardiology challenge 2018 MM Ghassemi, BE Moody, LWH Lehman, C Song, Q Li, H Sun, RG Mark, ... 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 120 | 2018 |
| MIMIC-III, a freely accessible critical care database Sci AE Johnson, TJ Pollard, L Shen, LH Lehman, M Feng, M Ghassemi, ... Data 3 (160035), 10.1038, 2016 | 105 | 2016 |
| A data-driven approach to optimized medication dosing: a focus on heparin MM Ghassemi, SE Richter, IM Eche, TW Chen, J Danziger, LA Celi Intensive care medicine 40, 1332-1339, 2014 | 68 | 2014 |
| Cognitive tomography reveals complex, task-independent mental representations NMT Houlsby, F Huszár, MM Ghassemi, G Orbán, DM Wolpert, M Lengyel Current Biology 23 (21), 2169-2175, 2013 | 59 | 2013 |
| A “datathon” model to support cross-disciplinary collaboration J Aboab, LA Celi, P Charlton, M Feng, M Ghassemi, DC Marshall, ... Science Translational Medicine 8 (333), 333ps8-333ps8, 2016 | 58 | 2016 |
| MIMIC-III, a freely accessible critical care database. Sci Data. 2016; 3: 160035 AE Johnson, TJ Pollard, L Shen, LW Lehman, M Feng, M Ghassemi, ... PubMed: https://pubmed. ncbi. nlm. nih. gov/27219127, 2016 | 57 | 2016 |
| Development of an EMG-controlled serious game for rehabilitation M Ghassemi, K Triandafilou, A Barry, ME Stoykov, E Roth, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (2 …, 2019 | 56 | 2019 |
| Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury E Amorim, M Van der Stoel, SB Nagaraj, MM Ghassemi, J Jing, ... Clinical neurophysiology 130 (10), 1908-1916, 2019 | 50 | 2019 |
| Estimating the false positive rate of absent somatosensory evoked potentials in cardiac arrest prognostication. E Amorim, MM Ghassemi, JW Lee, DM Greer, PW Kaplan, AJ Cole, ... Critical care medicine 46 (12), e1213, 2018 | 43 | 2018 |
| A repository of corpora for summarization F Dernoncourt, M Ghassemi, W Chang Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 41 | 2018 |
| Predicting latent narrative mood using audio and physiologic data T AlHanai, M Ghassemi Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 35 | 2017 |
| An ICA with reference approach in identification of genetic variation and associated brain networks J Liu, MM Ghassemi, AM Michael, D Boutte, W Wells, ... Frontiers in human neuroscience 6, 21, 2012 | 32 | 2012 |
| Management of atrial fibrillation with rapid ventricular response in the intensive care unit: a secondary analysis of electronic health record data A Moskowitz, KP Chen, AZ Cooper, A Chahin, MM Ghassemi, LA Celi Shock (Augusta, Ga.) 48 (4), 436, 2017 | 27 | 2017 |
| Accumulated deep sleep is a powerful predictor of LH pulse onset in pubertal children ND Shaw, JP Butler, S Nemati, T Kangarloo, M Ghassemi, A Malhotra, ... The Journal of Clinical Endocrinology & Metabolism 100 (3), 1062-1070, 2015 | 24 | 2015 |
| A visualization of evolving clinical sentiment using vector representations of clinical notes MM Ghassemi, RG Mark, S Nemati 2015 Computing in cardiology conference (CinC), 629-632, 2015 | 23 | 2015 |
Mengling 'Mornin' FengNational University of SingaporePotvrđena adresa e-pošte na nus.edu.sg
