Lehman, Li-wei, Matthew J. Johnson, Shamim Nemati, Ryan P. Adams, and Roger G. Mark. 2015. “Bayesian nonparametric learning of switching dynamics in cohort physiological time series: application in critical care patient monitoring.” Advanced State Space Methods for Neural and Clinical Data, 257. Cambridge University Press. Publisher's Version

Ghassemi, Mohammad M., Roger Mark, and Shamim Nemati. 2015. “A Cascaded Regression Approach for Precision Medication Dosing.” NIH-IEEE 2015 Strategic Conference on Healthcare Innovations and Point-of-Care Technologies for Precision Medicine. Bethesda, MD.

Nemati, Shamim, and Ryan P. Adams. 2015. “Identifying outcome-discriminative dynamics in multivariate physiological cohort time series.” Advanced State Space Methods for Neural and Clinical Data, 283. Cambridge University Press. Publisher's Version

Johnson, Alistair E. W., Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David Clifton, and Gari D Clifford. 2015. “Machine Learning and Decision Support in Critical Care.” IEEE Transactions on Biomedical Engineering, no. Review Article --Submitted.

Lehman, Li-wei, Mohammad M. Ghassemi, Jasper Snoek, and Shamim Nemati. 2015. “Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach.” In Computing in Cardiology Conference (Cinc). Nice, France.

Oster, Julien, Joachim Behar, Omid Sayadi, Shamim Nemati, A Johnson, and Gari Clifford. 2015. “Semi-supervised ECG Ventricular Beat Classification with Novelty Detection Based on Switching Kalman Filters.” IEEE Transactions on Biomedical Engineering, no. 99. IEEE. Publisher's Version

Ghassemi, Mohammad M, Roger G Mark, and Shamim Nemati. 2015. “Visualizing Evolving Clinical Sentiment Using Vector Representations of Clinical Notes and distributed stochastic neighbor embedding.” Computing in Cardiology Conference (CinC). Nice, France.

Shaw, ND, JP Butler, S Nemati, T Kangarloo, M Ghassemi, A Malhotra, and JE Hall. 2014. “Accumulated deep sleep is a powerful predictor of LH pulse onset in pubertal children.” The Journal of Clinical Endocrinology & Metabolism 100. Endocrine Society Chevy Chase, MD: 1062–1070.

Nemati, Shamim, and Mohammad M Ghassemi. 2014. “A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series.” Big Data (Big Data), 2014 IEEE International Conference on, 41–44. IEEE.

Nemati, S, and RP Adams. 2014. “Supervised Learning in Dynamic Bayesian Networks.” Neural Information Processing Systems (NIPS) Workshop on Deep Learning and Representation Learning. Montreal, Canada. Publisher's Version

Terrill, PI, BA Edwards, S Nemati, JP Butler, RL Owens, DJ Eckert, DP White, A Malhotra, A Wellman, and SA Sands. 2014. “Quantifying the Ventilatory Control Contribution to Sleep Apnoea Using Polysomnography.” European Respiratory Journal.

Gederi, E, S Nemati, BA Edwards, GD Clifford, A Malhotra, and A Wellman. 2014. “Model-based characterization of ventilatory stability using spontaneous breathing: A human study.” J Respiratory physiology & neurobiology.

Lehman, L, R Adams, L Mayaud, G Moody, A Malhotra, R Mark, and S Nemati. 2014. “A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction.” J Biomedical and Health Informatics. IEEE, 1–1.

Nemati, S, SW Linderman, and Z Chen. 2014. “A Probabilistic Modeling Approach for Uncovering Neural Population Rotational Dynamics.” Cosyne.

Nemati, S, J Orr, and A Malhotra. 2014. “Data-Driven Phenotyping: graphical models for model-based phenotyping of sleep apnea.” IEEE Pulse, 5, 45-48.

Ghassemi, M, LH Lehman, J Snoek, and S Nemati. 2014. “Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy.” Computers in Cardiology.

Edwards, BA, S Nemati, JP Butler, RL Owens, DP White, A Malhotra, A Wellman, SA Sands, and P Terrill. 2013. “Quantifying Ventilatory Instability Using Clinical Polysomnography In Obstructive Sleep Apnea.” Am J Respir Crit Care Med 187: A3761.

Lehman, Li-wei H, Shamim Nemati, Ryan P Adams, George Moody, Atul Malhotra, and Roger G Mark. 2013. “Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series.” Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 7072–7075. IEEE.

Wellman, Andrew, Bradley A Edwards, Scott A Sands, Robert L Owens, Shamim Nemati, James Butler, Chris L Passaglia, Andrew C Jackson, Atul Malhotra, and David P White. 2013. “A simplified method for determining phenotypic traits in patients with obstructive sleep apnea.” Journal of Applied Physiology 114. American Physiological Society: 911–922.

Nemati, Shamim. 2013. “Identifying evolving multivariate dynamics in individual and cohort time series, with application to physiological control systems.” Massachusetts Institute of Technology. Publisher's Version