An approach to detect epileptic seizure using XAI and machine learning

An approach to detect epileptic seizure using XAI and machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Opis bibliograficzny
Główni autorzy:	Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
Kolejni autorzy:	Hossain, Muhammad Iqbal
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2022
Hasła przedmiotowe:	Multi-class classification Binary classification K-Nearest Neighbor (KNN) Decision tree algorithm Random forest algorithm Multi-Layer Perceptron (MLP) Gradient boosting classifier Gaussian Naïve Bayes Complement Naïve Bayes SGD Classifier XAI LIME Algorithm Sudden Unexpected Death in Epilepsy (SUDEP) Epileptic Seizure (ES) Electroencephalogram (EEG) Machine Learning Computer algorithms
Dostęp online:	http://hdl.handle.net/10361/17538

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