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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Bijoy, Emam Hasan, Rahman, Md. Hasibur, Ahmed, Sabbir, Laskor, Md. Shifat
مؤلفون آخرون: Hossain, Muhammad Iqbal
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2022
الموضوعات:
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
الوصول للمادة أونلاين:http://hdl.handle.net/10361/17538

مواد مشابهة

مواد مشابهة