Innovative and Effective Machine Learning-Based Method to Analyze Alcoholic Brain Activity with Nonlinear Dynamics and Electroencephalography Data

Author:

Koliqi Rozafa,Fathima Azmath,Tripathi Arpan Kumar,Sohi Neelofar,Jesudasan Rajesh E.,Mahapatra ChinmayaORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference28 articles.

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3. Al-Kadi MI, Reaz MBI, Ali MAM. Evolution of electroencephalogram signal analysis techniques during anesthesia. Sensors (Basel). 2013;13:6605–35.

4. World Health Organization (WHO) World Suicide Prevention Day (2012). http://www.who.int/mediacentre/events/annual/world_suicide_prevention_day/en.

5. Sun J, Cao R, Zhou M, Hussain W, Wang B, Xue J, Xiang J. A hybrid deep neural network for classification of schizophrenia using EEG data. Sci Rep. 2021;11:4706.

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