Shamim Nemati
Machine learning and decision support in critical care
AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ...
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers …, 2016
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
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
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
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
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), 19, 2012
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
Data fusion for improved respiration rate estimation
S Nemati, A Malhotra, GD Clifford
EURASIP journal on advances in signal processing 2010, 10, 2010
A physiological time series dynamics-based approach to patient monitoring and outcome prediction
HL Li-wei, RP Adams, L Mayaud, GB Moody, A Malhotra, RG Mark, ...
IEEE journal of biomedical and health informatics 19 (3), 1068-1076, 2015
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
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
Respiration and heart rate complexity: effects of age and gender assessed by band-limited transfer entropy
S Nemati, BA Edwards, J Lee, B Pittman-Polletta, JP Butler, A Malhotra
Respiratory physiology & neurobiology 189 (1), 27-33, 2013
An artificial vector model for generating abnormal electrocardiographic rhythms
GD Clifford, S Nemati, R Sameni
Physiological measurement 31 (5), 595, 2010
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
Model-based characterization of ventilatory stability using spontaneous breathing
S Nemati, BA Edwards, SA Sands, PJ Berger, A Wellman, GC Verghese, ...
Journal of Applied Physiology 111 (1), 55-67, 2011
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
An open-source standard T-wave alternans detector for benchmarking
A Khaustov, S Nemati, GD Clifford
2008 Computers in Cardiology, 509-512, 2008
An artificial multi-channel model for generating abnormal electrocardiographic rhythms
GD Clifford, S Nemati, R Sameni
2008 Computers in Cardiology, 773-776, 2008
Tornado detection using a neuro–fuzzy system to integrate shear and spectral signatures
Y Wang, TY Yu, M Yeary, A Shapiro, S Nemati, M Foster, DL Andra Jr, ...
Journal of Atmospheric and Oceanic Technology 25 (7), 1136-1148, 2008
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
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