Analyzing EEG Data of Alcoholic Patients Using Time Series Analysis and Machine Learning Techniques

Regie Felix

Presentation Type

Poster Presentation

College

College of Natural Sciences

Location

Event Center B

Faculty Mentor

Dr. Arturo Concepcion

Start Date

2-27-2013 10:10 AM

End Date

2-27-2013 6:00 PM

Abstract

Time series are data take in time intervals. This analysis can predict future data in three steps: preprocessing, analysis, and diagnostics. Time series classification uses machine learning (decision trees and artificial neural networks) to classify a dataset. We analyzed EEG data of alcoholics and non-alcoholics to predict their status.

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Feb 27th, 10:10 AM Feb 27th, 6:00 PM

Analyzing EEG Data of Alcoholic Patients Using Time Series Analysis and Machine Learning Techniques

Event Center B

Time series are data take in time intervals. This analysis can predict future data in three steps: preprocessing, analysis, and diagnostics. Time series classification uses machine learning (decision trees and artificial neural networks) to classify a dataset. We analyzed EEG data of alcoholics and non-alcoholics to predict their status.