Shamim Nemati

发表

Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network

Qichen Li, Chengyu Liu, Qiao Li, 2019, Physiological measurement.

An open source benchmarked toolbox for cardiovascular waveform and interval analysis

Qiao Li, Shamim Nemati, Gari D Clifford, 2018, Physiological measurement.

A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series

Shamim Nemati, Mohammad M. Ghassemi, 2014, 2014 IEEE International Conference on Big Data (Big Data).

The Training of Next Generation Data Scientists in Biomedicine

Shamim Nemati, Jason H. Moore, Quynh C. Nguyen, 2017, PSB.

Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets

Ashish Sharma, Shamim Nemati, Ganesh R. Iyer, 2018, AMIA.

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks

Shamim Nemati, Gari D. Clifford, Amit J. Shah, 2018, KDD.

Supervised Learning in Dynamic Bayesian Networks

Shamim Nemati, Ryan P. Adams, S. Nemati, 2014, NIPS 2014.

Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram

Qichen Li, Chengyu Liu, Qiao Li, 2018, Physiological measurement.

A Probabilistic Modeling Approach for Uncovering Neural Population Rotational Dynamics

Shamim Nemati, Scott W. Linderman, Z. Chen, 2014 .

Machine Learning and Decision Support in Critical Care This paper discusses the issues of compartmentalization, corruption, and complexity involved in collection and preprocessing of critical care data.

Shamim Nemati, Mohammad M. Ghassemi, Alistair E. W. Johnson, 2016 .

Data Fusion for Improved Respiration Rate Estimation

Shamim Nemati, Gari D. Clifford, Atul Malhotra, 2010, EURASIP J. Adv. Signal Process..

A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2014, IEEE Journal of Biomedical and Health Informatics.

Personalized Medication Dosing Using Volatile Data Streams

Shamim Nemati, Roger G. Mark, M. Brandon Westover, 2018, AAAI Workshops.

A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series

Shamim Nemati, Roger G. Mark, Li-wei H. Lehman, 2018, IEEE Journal of Biomedical and Health Informatics.

Identifying evolving multivariate dynamics in individual and cohort time series, with application to physiological control systems

Shamim Nemati, S. Nemati, 2013 .

Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach

Yadong Wang, Shamim Nemati, Mark B. Yeary, 2007, IEEE Geoscience and Remote Sensing Letters.

Patient prognosis from vital sign time series: Combining convolutional neural networks with a dynamical systems approach

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2015, 2015 Computing in Cardiology Conference (CinC).

Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? pdf

Shamim Nemati, Russell J. Bradford, Christopher J. Sangwin, 2019, ArXiv.

Learning outcome-discriminative dynamics in multivariate physiological cohort time series

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology

Qiao Li, Shamim Nemati, Gari D. Clifford, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach

Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU

Shamim Nemati, Mohammad M. Ghassemi, Rongmei Lin, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization

Shamim Nemati, Roger G. Mark, Mohammad M. Ghassemi, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

How much data should we collect? A case study in sepsis detection using deep learning

Shamim Nemati, Anahita Khojandi, Rishikesan Kamaleswaran, 2017, 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT).

Uncovering clinical significance of vital sign dynamics in critical care

Shamim Nemati, Li-Wei H. Lehman, Roger G. Mark, 2014, Computing in Cardiology 2014.

Big data and optimisation of treatment strategies

Shamim Nemati, Mohammad M. Ghassemi, 2016 .

Doubly-Robust Estimation of Effect of Imaging Resource Utilization on Discharge Decisions in Emergency Departments

Shamim Nemati, Azade Tabaie, Andre L. Holder, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Visual Target Tracking using Improved and Computationally Efficient Particle Filtering

Shamim Nemati, Jean-Charles Noyer, Yan Zhai, 2006, 2006 International Conference on Image Processing.

Global optimization approaches for parameter tuning in biomedical signal processing: A focus on multi-scale entropy

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2014, Computing in Cardiology 2014.

A FHIR-Enabled Streaming Sepsis Prediction System for ICUs

Ashish Sharma, Shamim Nemati, Joel R. Henry, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Benchmarking heart rate variability toolboxes.

Shamim Nemati, Gari D Clifford, Adriana N Vest, 2017, Journal of electrocardiology.

Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates

Shamim Nemati, John C. Snyder, Gari D. Clifford, 2018, 1806.08675.

Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU

Shamim Nemati, Ryan P. Adams, Li-Wei H. Lehman, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes

Shamim Nemati, Hongyuan Zha, Hongteng Xu, 2016, IEEE Transactions on Knowledge and Data Engineering.

A Nonparametric Surrogate-Based Test of Significance for T-Wave Alternans Detection

Shamim Nemati, Violeta Monasterio, Gari D. Clifford, 2011, IEEE Transactions on Biomedical Engineering.

A Support-Vector-Machine-Based Approach to RF Sensor Spectral Signature Classifications

Yadong Wang, Shamim Nemati, Yan Zhai, 2009, IEEE Transactions on Instrumentation and Measurement.

Biomimetic Brain Machine Interfaces for the Control of Movement

Shamim Nemati, Nicholas G Hatsopoulos, Dennis C. Tkach, 2007, The Journal of Neuroscience.

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters

Shamim Nemati, Julien Oster, Gari D. Clifford, 2015, IEEE Transactions on Biomedical Engineering.

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract)

Shamim Nemati, Hongyuan Zha, Hongteng Xu, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

A visualization of evolving clinical sentiment using vector representations of clinical notes

Shamim Nemati, Roger G. Mark, Mohammad Mahdi Ghassemi, 2015, 2015 Computing in Cardiology Conference (CinC).

Depression Severity Classification from Speech Emotion

Shamim Nemati, Andrea Crowell, Helen S. Mayberg, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Hemodynamic monitoring using switching autoregressive dynamics of multivariate vital sign time series

Shamim Nemati, Li-Wei H. Lehman, Roger G. Mark, 2015, 2015 Computing in Cardiology Conference (CinC).

Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expression

Jun Kong, Shamim Nemati, Andrea Crowell, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Machine Learning and Decision Support in Critical Care

Shamim Nemati, David A. Clifton, Mohammad M. Ghassemi, 2016, Proceedings of the IEEE.

DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis

Shamim Nemati, Christopher Josef, Supreeth P. Shashikumar, 2021, Artif. Intell. Medicine.

Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions

Shamim Nemati, Gari D. Clifford, Helen S. Mayberg, 2020, IEEE Transactions on Biomedical Engineering.

Predicting presumed serious infection among hospitalized children on central venous lines with machine learning

Shamim Nemati, Rishikesan Kamaleswaran, Gari D. Clifford, 2021, Comput. Biol. Medicine.

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms pdf

Shamim Nemati, Li Xiong, Gari D. Clifford, 2021, ArXiv.

Multiscale network representation of physiological time series for early prediction of sepsis

Shamim Nemati, Gari D Clifford, Qiao Li, 2017, Physiological measurement.

Looking Into the Seeds of Time to Say Which Fevers Will Grow and Which Will Not.

Shamim Nemati, S. Nemati, 2018, Critical care medicine.

Visualizing Evolving Clinical Sentiment Using Vector Representations of Clinical Notes and distributed stochastic neighbor embedding

Shamim Nemati, Roger G. Mark, Mohammad M. Ghassemi, 2015 .

Characterizing Ventilatory Oscillations Emerging From Disturbances To Stable Control Systems: A Mechanism Of Mild-Moderate Central Sleep Apnea

Shamim Nemati, Atul Malhotra, Keith Willson, 2012, ATS 2012.

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU

Shamim Nemati, Gari D Clifford, Matthew D. Stanley, 2017, Critical care medicine.

An artificial vector model for generating abnormal electrocardiographic rhythms.

Shamim Nemati, Gari D Clifford, Reza Sameni, 2010, Physiological measurement.

Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019

Shamim Nemati, M. Brandon Westover, Gari D. Clifford, 2019, 2019 Computing in Cardiology (CinC).

T-wave alternans patterns during sleep in healthy, cardiac disease, and sleep apnea patients.

Shamim Nemati, Gari D Clifford, Atul Malhotra, 2011, Journal of electrocardiology.

Identifying outcome-discriminative dynamics in multivariate physiological cohort time series

Shamim Nemati, Ryan P. Adams, 2015 .

Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019

Shamim Nemati, Gari D Clifford, M Brandon Westover, 2019, 2019 Computing in Cardiology (CinC).

Dynamics of multivariate vital sign time series and severe sepsis among patients in critical care

Shamim Nemati, Roger G. Mark, Alistair E. W. Johnson, 2017 .

Model-Based Characterization Of Ventilatory Stability During Spontaneous Breathing: A Human Study

Shamim Nemati, Atul Malhotra, Scott A. Sands, 2012, ATS 2012.

Model-based quantification of loop gain using clinical polysomnography in patients with obstructive sleep apnea

Shamim Nemati, Philip I. Terrill, Atul Malhotra, 2013 .

Bayesian nonparametric learning of switching dynamics in cohort physiological time series: application in critical care patient monitoring

Shamim Nemati, Ryan P. Adams, Matthew J. Johnson, 2015 .

Respiration and heart rate complexity: Effects of age and gender assessed by band-limited transfer entropy

Shamim Nemati, Atul Malhotra, Bradley A. Edwards, 2013, Respiratory Physiology & Neurobiology.

Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures

Shamim Nemati, Gari D Clifford, Adriana N Vest, 2017, Physiological measurement.