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Azeezat Azeez, Miriam Sierra


Predict who is an Alcoholic?
Data: Open-source EEG data from the UCI Machine Learning Repository
Description: This data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed on subject's scalps which were sampled at 256 Hz (3.9-msec epoch) for 1 second.
Subjects: Two Groups: Alcoholic & Control
Data Sets: Training: 20 unique patients (10 control/10 alcoholic) 30 trials per patient and Test: 20 unique patients (10 control/10 alcoholic)
The intersection of Data Science and Medical Imaging offers a unique opportunity to create clinical biomarkers for Patients
In this case the potential to offer Preventive Care & Improved Social Welfare for those suffering from Alcohol Use Disorder.

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