Classifying Alcoholics and Control Patients Using Deep Learning and Peak Visualization Method

Effective Connectivity in Default Mode Network for Alcoholism Diagnosis

“…For the detection of alcoholism, usage of deep learning techniques is not widely available in literature. In 2019, a combination of long short-term memory (LSTM) and SVM is used for training over EEG peak visualization method (PVM) from alcoholic and healthy control data [37]. Here, LSTM first extract the features and then trained on SVM producing 90.97% classification accuracy.…”