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Shamim Nemati
Tytuł
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Cytowane przez
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An interpretable machine learning model for accurate prediction of sepsis in the ICU
S Nemati, A Holder, F Razmi, MD Stanley, GD Clifford, TG Buchman
Critical care medicine 46 (4), 547-553, 2018
6412018
Reinforcement learning in healthcare: A survey
C Yu, J Liu, S Nemati, G Yin
ACM Computing Surveys (CSUR) 55 (1), 1-36, 2021
5432021
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
3842016
Early prediction of sepsis from clinical data: the PhysioNet/Computing in Cardiology Challenge 2019
MA Reyna, CS Josef, R Jeter, SP Shashikumar, MB Westover, S Nemati, ...
Critical care medicine 48 (2), 210-217, 2020
3332020
Quantifying the Ventilatory Control Contribution to Sleep Apnoea Using Polysomnography
PI Terrill, BA Edwards, S Nemati, JP Butler, RL Owens, DJ Eckert, ...
European Respiratory Journal, 2014
2402014
A simplified method for determining phenotypic traits in patients with obstructive sleep apnea
A Wellman, BA Edwards, SA Sands, RL Owens, S Nemati, J Butler, ...
Journal of applied physiology 114 (7), 911-922, 2013
2332013
An open source benchmarked toolbox for cardiovascular waveform and interval analysis
AN Vest, G Da Poian, Q Li, C Liu, S Nemati, AJ Shah, GD Clifford
Physiological measurement 39 (10), 105004, 2018
2282018
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
2052016
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology
SP Shashikumar, AJ Shah, Q Li, GD Clifford, S Nemati
2017 IEEE EMBS international conference on biomedical & health informatics …, 2017
1632017
Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics
SP Shashikumar, MD Stanley, I Sadiq, Q Li, A Holder, GD Clifford, ...
Journal of electrocardiology 50 (6), 739-743, 2017
1622017
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
1532016
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
1452015
Transfer entropy estimation and directional coupling change detection in biomedical time series
J Lee, S Nemati, I Silva, BA Edwards, JP Butler, A Malhotra
Biomedical engineering online 11, 1-17, 2012
1302012
Data fusion for improved respiration rate estimation
S Nemati, A Malhotra, GD Clifford
EURASIP journal on advances in signal processing 2010, 1-10, 2010
1292010
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction
L Lehman, R Adams, L Mayaud, G Moody, A Malhotra, R Mark, S Nemati
Biomedical and Health Informatics, 1-1, 2014
121*2014
Biomimetic brain machine interfaces for the control of movement
AH Fagg, NG Hatsopoulos, V De Lafuente, KA Moxon, S Nemati, ...
Journal of Neuroscience 27 (44), 11842-11846, 2007
962007
Detection of paroxysmal atrial fibrillation using attention-based bidirectional recurrent neural networks
SP Shashikumar, AJ Shah, GD Clifford, S Nemati
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
912018
Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram
Q Li, Q Li, C Liu, SP Shashikumar, S Nemati, GD Clifford
Physiological measurement 39 (12), 124005, 2018
842018
An artificial vector model for generating abnormal electrocardiographic rhythms
GD Clifford, S Nemati, R Sameni
Physiological measurement 31 (5), 595, 2010
632010
Patient flow prediction via discriminative learning of mutually-correcting processes
H Xu, W Wu, S Nemati, H Zha
IEEE transactions on Knowledge and Data Engineering 29 (1), 157-171, 2016
602016
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