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.

Bibliografiska uppgifter
Huvudupphovsmän: Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
Övriga upphovsmän: Hossain, Muhammad Iqbal
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2022
Ämnen:
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
Länkar:http://hdl.handle.net/10361/17538

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