Feasibility of Regression Modeling and Biomarker Analysis for Epileptic Seizure Prediction-Reference-Cited by-同舟云学术

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Feasibility of Regression Modeling and Biomarker Analysis for Epileptic Seizure Prediction

Published:2023-03-22 Issue: Volume: Page:
ISSN:
Container-title:2023 57th Annual Conference on Information Sciences and Systems (CISS)
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Author:

Tanner Dominique L.¹,Privitera Michael²,Rao Marepalli³

Affiliation:

1. University of Cincnnati College of Engineering and Applied Science,Biomedical Engineering,Cincinnati,USA

2. University of Cincinnati Gardner, Neuroscience Institute,Neurology,Cincinnati,USA

3. University of Cincnnati College of Medicine,Environmental Health,Cincinnati,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10089615/10089616/10089755.pdf?arnumber=10089755

Reference15 articles.

1. Automatic seizure detection in EEG using logistic regression and artificial neural network

2. Decision Trees as a Method for Forecasting Seizure Precipitants and Identifying Their Influences on Seizure Outcome

3. Optimal Thresholds by Maximizing or Minimizing Various Metrics via ROC-Type Analysis

4. A primer on model selection using the Akaike Information Criterion

5. Seizure Prediction Models in the Neonatal Intensive Care Unit

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