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.

Podrobná bibliografie
Hlavní autoři: Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
Další autoři: Hossain, Muhammad Iqbal
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2022
Témata:
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
On-line přístup:http://hdl.handle.net/10361/17538

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