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Classification of EEG based Diseases using Data Mining
Author(s) -
Deepika Kundra,
Babita Pandey
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/15819-4643
Subject(s) - computer science , electroencephalography , artificial intelligence , data mining , data science , pattern recognition (psychology) , medicine , psychiatry
Brain is the most important organ of our body and it serve as centre of nervous system. It is a bioelectric generator. With neurological and psychological disordering there occur some inflammation and disruptions in the brain that lead some problems like vision loss, weakness, brain functioning, anxiety and abnormal behaviour etc. that leads to the death. In this work, J48 algorithm is deployed for the classification of EEG based diseases such as: dementia, Schizophrenia, ADHD, epilepsy and mood disorder. The results are shown in terms of, decision tree true positive rate, false positive rate and ROC curve.

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