Narrow search
Showing 1 - 9 of 9
Cover Image
Model-based quantification of loop gain using clinical polysomnography in patients with obstructive sleep apnea
Terrill, PI; Edwards, BA; Wellman, A; Nemati, S; Owens, RL - Institute for Quantitative Social Science, Harvard … - 2013
Persistent link: https://www.econbiz.de/10010797736
Cover Image
Quantifying the Ventilatory Control Contribution to Sleep Apnoea Using Polysomnography
Terrill, PI; Edwards, BA; Nemati, S; Butler, J. P.; … - Institute for Quantitative Social Science, Harvard …
Persistent link: https://www.econbiz.de/10011085442
Cover Image
Data-Driven Phenotyping: graphical models for model-based phenotyping of sleep apnea
Nemati, S; Orr, J; Malhotra, A - Institute for Quantitative Social Science, Harvard …
Persistent link: https://www.econbiz.de/10010797737
Cover Image
Discovering shared cardiovascular dynamics within a patient cohort
Nemati, S; Lehman, LH; Adams, RP; Malhotra, A - Institute for Quantitative Social Science, Harvard … - 2012
Persistent link: https://www.econbiz.de/10010961489
Cover Image
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction
Lehman, L; Adams, R; Mayaud, L; Moody, G; Malhotra, A; … - Institute for Quantitative Social Science, Harvard …
Persistent link: https://www.econbiz.de/10010886155
Cover Image
A Probabilistic Modeling Approach for Uncovering Neural Population Rotational Dynamics
Nemati, S; Linderman, S W; Chen, Z. - Institute for Quantitative Social Science, Harvard … - 2014
Persistent link: https://www.econbiz.de/10010797738
Cover Image
Supervised Learning in Dynamic Bayesian Networks
Nemati, S; Adams, RP - Institute for Quantitative Social Science, Harvard … - 2014
Persistent link: https://www.econbiz.de/10011099824
Cover Image
Learning Outcome-Discriminative Dynamics in Multivariate Physiological Cohort Time Series
Nemati, S; Lehman, L; Adams, RP - Institute for Quantitative Social Science, Harvard … - 2013
Persistent link: https://www.econbiz.de/10010961466
Cover Image
Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy
Ghassemi, M; Lehman, LH; Snoek, J; Nemati, S - Institute for Quantitative Social Science, Harvard … - 2014
Persistent link: https://www.econbiz.de/10010895629