Shamim Nemati

Orcid: 0000-0002-0520-4948

Affiliations:
  • Emory University, Atlanta, GA, USA


According to our database1, Shamim Nemati authored at least 64 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival.
npj Digit. Medicine, 2024

Impact of a deep learning sepsis prediction model on quality of care and survival.
npj Digit. Medicine, 2024

Improving Prediction of Need for Mechanical Ventilation using Cross-Attention.
CoRR, 2024

Benchmarking changepoint detection algorithms on cardiac time series.
CoRR, 2024

2023
Reinforcement Learning in Healthcare: A Survey.
ACM Comput. Surv., 2023

Unsupervised Detection and Correction of Model Calibration Shift at Test-Time.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A Deep Learning Framework for Image-Based Screening of Kawasaki Disease.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Development & Deployment of a Real-time Healthcare Predictive Analytics Platform.
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

Identifying Diagnostic Opportunities Using Clinical Trajectories.
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

Artificial intelligence sepsis prediction algorithm learns to say "I don't know".
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

Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis.
Proceedings of the AMIA 2020, 2020

2019
Reinforcement Learning in Healthcare: A Survey.
CoRR, 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

A FHIR-Enabled Streaming Sepsis Prediction System for ICUs.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Depression Severity Classification from Speech Emotion.
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

Personalized Medication Dosing Using Volatile Data Streams.
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

The Training of Next Generation Data Scientists in Biomedicine.
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
Machine Learning and Decision Support in Critical Care.
Proc. IEEE, 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

Monitoring and detecting atrial fibrillation using wearable technology.
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
Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care.
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
Discovering shared cardiovascular dynamics within a patient cohort.
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
A Nonparametric Surrogate-Based Test of Significance for T-Wave Alternans Detection.
IEEE Trans. Biomed. Eng., 2011

2010
Data Fusion for Improved Respiration Rate Estimation.
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


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