Shamim Nemati
Orcid: 0000-0002-0520-4948Affiliations:
- Emory University, Atlanta, GA, USA
According to our database1,
Shamim Nemati
authored at least 61 papers
between 2006 and 2024.
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Bibliography
2024
npj Digit. Medicine, 2024
2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Inclusion of social determinants of health improves sepsis readmission prediction models.
J. Am. Medical Informatics Assoc., 2022
A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores.
Proceedings of the AMIA 2022, 2022
Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease.
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
2021
Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions.
IEEE Trans. Biomed. Eng., 2021
npj Digit. Medicine, 2021
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms.
CoRR, 2021
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.
Comput. Biol. Medicine, 2021
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis.
Artif. Intell. Medicine, 2021
2020
Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features.
IEEE J. Biomed. Health Informatics, 2020
Addressing the Credit Assignment Problem in Treatment Outcome Prediction Using Temporal DifferenceLearning.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured Data.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the AMIA 2020, 2020
2019
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis.
CoRR, 2019
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?
CoRR, 2019
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.
Proceedings of the 46th Computing in Cardiology, 2019
Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients.
Proceedings of the AMIA 2019, 2019
2018
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series.
IEEE J. Biomed. Health Informatics, 2018
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Doubly-Robust Estimation of Effect of Imaging Resource Utilization on Discharge Decisions in Emergency Departments.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets.
Proceedings of the AMIA 2018, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.
IEEE Trans. Knowl. Data Eng., 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.
CoRR, 2016
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expression.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction.
IEEE J. Biomed. Health Informatics, 2015
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters.
IEEE Trans. Biomed. Eng., 2015
Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series.
Proceedings of the Computing in Cardiology, 2015
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach.
Proceedings of the Computing in Cardiology, 2015
A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes.
Proceedings of the Computing in Cardiology, 2015
2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Identifying evolving multivariate dynamics in individual and cohort time series, with application to physiological control systems.
PhD thesis, 2013
Learning outcome-discriminative dynamics in multivariate physiological cohort time series.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Biomed. Eng., 2011
2010
EURASIP J. Adv. Signal Process., 2010
2009
A Support-Vector-Machine-Based Approach to RF Sensor Spectral Signature Classifications.
IEEE Trans. Instrum. Meas., 2009
2007
Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach.
IEEE Geosci. Remote. Sens. Lett., 2007
2006
Visual Target Tracking using Improved and Computationally Efficient Particle Filtering.
Proceedings of the International Conference on Image Processing, 2006