Mohammad Mahdi Ghassemi
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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
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
Detecting Depression with Audio/Text Sequence Modeling of Interviews.
T Al Hanai, MM Ghassemi, JR Glass
Interspeech, 1716-1720, 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
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
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
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
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
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
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
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
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
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
A repository of corpora for summarization
F Dernoncourt, M Ghassemi, W Chang
Proceedings of the Eleventh International Conference on Language Resources …, 2018
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
Predicting neurological recovery from coma after cardiac arrest: The George B. Moody PhysioNet Challenge 2023
MA Reyna, E Amorim, R Sameni, J Weigle, A Elola, AB Rad, S Seyedi, ...
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
The international cardiac arrest research consortium electroencephalography database
E Amorim, WL Zheng, MM Ghassemi, M Aghaeeaval, P Kandhare, ...
Critical Care Medicine 51 (12), 1802-1811, 2023
Predicting latent narrative mood using audio and physiologic data
T AlHanai, M Ghassemi
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 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
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
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