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High-performance Prediction of Epilepsy Surgical Outcomes Based on the Genetic Neural Networks and Hybrid iEEG Marker

2024-02-20

Abstract excerpt

<h4>Introduction: </h4> Accurately identification of the seizure onset zone (SOZ) is pivotal for successful surgery in patients with medically refractory epilepsy. The purpose of this study is to improve the performance of model predicting the epilepsy surgery outcomes using genetic neural network (GNN) model based on a hybrid intracranial electroencephalography (iEEG) marker. Methods We extracted 21 SOZ related...

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Literature Corpus work
eab7fe6c-f1e1-5d75-866e-c5d9d5e1e73d
DOI
10.21203/rs.3.rs-3930495/v1
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High-performance Prediction of Epilepsy Surgical Outcomes Based on the Genetic Neural Networks and Hybrid iEEG MarkerDOI 10.21203/rs.3.rs-3930495/v1
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