Consumption of Licit and Illicit Substances leading to Mental Illness: A Prevalence Study

EAI Endorsed Transactions on Pervasive Health and Technology

Lalit Goyal¹  Bijoy Chhetri¹  Mamta Mittal²  Sandeep Gurung³ 

[1] Department of Computer Engineering, J C Bose University of Science and Technology, YMCA, Faridabad, India;Department of Computer Science and Engineering, G B Pant Government Engineering College, Okhla, New Delhi, India;Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, Sikkim, India;

关键词: mental illness;    depression;    anxiety;    machine learning;    support vector machine;    feature selection;    cross sectional study;   

DOI  :  10.4108/eai.11-5-2020.164415

来源: DOAJ

【 摘 要 】

Background: A menace case of drug & narcotics abuse has been in prime focus of the society nowadays. Therefore, the need of technological intervention is primary concern to examine the prevalence, severity and outcome to the drug menace and its consequences. Objective: This study is to suffice clinical decisions through behaviour observatory data through preliminary screening of prevalence, correlation and severity of illness. Method: The model has been proposed to check for General Anxiety Disorder and Depression of a subject abusing any of the drug/marijuana/alcohol. In this model data set of Sikkim’s youth has been considered to find relation of addiction leading to mental disorder. Result: This proposed system has been successful to associate any form of substance abuse to to some of illness to a limit of .83 accuracy scored by Support Vector Machine over the other machine learning models. The model has been deployedand being observed in few of the rehabilitation centre.

【 授权许可】

Unknown