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ISSN 2063-5346
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APPLICATION OF NEURAL NETWORK ALGORITHMS TO IMPLEMENT DRUG ABUSE RESEARCH ON IDENTIFYING NICOTINE USE DISORDER THROUGH ANALYSING PERSONALITY TRAITS

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D. Kumaresan , Dr. Aranga. Arivarasan
» doi: 10.31838/ecb/2023.12.s3.354

Abstract

Nicotine addiction arises when a person need nicotine and unable to quit using it. Nicotine is identified as a chemical present in tobacco. The use of nicotine will certainly bring temporary pleasing enjoyment in the human brain. This brings the user to become addicted to the use of nicotine. The Smokers alone are not the victims of NUD. The Second hand smoke breath of nicotine by non-smoker is also the victims. If the children and persons with high blood pressure and or cholesterol are exposed to second hand smoke are having superior risks of being affected by heart sicknesses. Possibly everyone are aware regarding the association among smoking and lung cancer. It is unfortunate that many person were little aware that smoking also connected with heart diseases, stroke and enduring diseases. Smoking can uplift risk of getting cancer in many parts of human body, comprising bladder, throat, mouth, kidneys, cervix, and pancreas. The aim of this paper is to investigate the most influential features origins the NUD among the nicotine user’s personality trails. Depending on the self-extracted data collected from 1885 individuals three of the NN models were built. These three NN models apply the 10-Fold cross validation and 30-70 Hold-Out validation methods to provide the reliability of the prediction results. Among the three methods the RNN Hold-Out method achieves 99.19% as best accuracy results.

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