An EEG-based machine learning method to screen alcohol use disorder

Author:

Mumtaz Wajid,Vuong Pham Lam,Xia Likun,Malik Aamir Saeed,Rashid Rusdi Bin Abd

Funder

HICoE grant for CISIR , Ministry of Education (MOE), Malaysia.

National Natural Science Foundation of China

China Postdoctoral Science Foundation Grant

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience

Reference75 articles.

1. Acharya UR, Sree SV, Chattopadhyay S, Suri JS (2012) Automated diagnosis of normal and alcoholic EEG signals. Int J Neural Syst 22(03):1250011

2. Alcoholism NIAAA (2012) Alcohol use disorder. http://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/alcohol-use-disorders

3. Alhassoon OM, Sorg SF, Stern MJ, Hall MG, Wollman SC (2015) Neuroimaging in alcohol-use disorders: clinical implications and future directions. Future Neurol 10(4):345–356

4. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG, World Health Organization (2001) AUDIT: the alcohol use disorders identification test: guidelines for use in primary health care. World Health Organization, Geneva

5. Bajaj V, Guo Y, Sengur A, Siuly S, Alcin OF (2016) A hybrid method based on time–frequency images for classification of alcohol and control EEG signals. Neural Comput Appl 27:1–7

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