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The Analysis of Machine Learning Algorithm Performance on Long Term Data using Short Time Scale Analysis

thesis
posted on 2023-05-22, 07:58 authored by MAURICE NTAHOBARI
This thesis analyses the performance of various classification algorithms for epileptic seizure prediction algorithm development to find which algorithm performs better than others on long term electroencephalogram dataset. It shows that statistically there is no statistically significant difference between the performance of various classification algorithms for seizure prediction model development. It also demonstrates that there is variability between the performance of a given classification algorithm for various patients. Hence, seizure prediction algorithm is patients specific.

History

Campus location

Australia

Principal supervisor

Levin Kuhlmann

Additional supervisor 1

Mario Boley

Additional supervisor 2

Zhinoos Razavi Hesabi

Year of Award

2023

Department, School or Centre

Data Science & Artificial Intelligence

Course

Master of Philosophy

Degree Type

MPHIL

Faculty

Faculty of Information Technology