The problem of evaluating an individual's risk of drug consumption and misuse is highly
important and novel. An online survey methodology was employed to collect data including …

In this work an artificial neural network (ANN) based approach is proposed for prediction of
alcohol user. Two ANN modules are designed, ANN-D to predict a person is an alcohol user …

In this work a machine learning approach is proposed for prediction of volatile substance
abuse. Machine learning technique used in this work is artificial neural networks (ANN). Two …

The study investigated prevalence of substance abuse in youth. Participants were 13 black
male learners from a disadvantaged community in Limpopo Province in South Africa. The …

Çocukluk yıllarındaki beslenme ve yaşam alışkanlıkları ileri yaşlarda ortaya çıkabilecek
obezite hastalığının nedenini oluşturur. Bu çalışma çocuklarda obeziteye yakalanma riskini …

In the smart world scenario, the application of the Internet of Things is manifold as its
utilization can be observed in health care services, home, and office automation, grid …

Drug use disorder is characterised by several terms: addiction, dependence, and abuse. We
discuss the notion of psychoactive substance and relations between the existing definitions …

In this work, artificial intelligence (AI) based method has been proposed for analysis of
alcohol abuse (AA) to evaluate drug risk and find an optimal method for analysis of AA. To …

Uzman Karışımları, Kolektif Öğrenme metotlarından biridir ve sınıflandırma başarısını
artırmak için yaygın olarak kullanılmaktadır. Bu algoritmada, veri seti yumuşak kümeleme ile …

Volatile substances are chemicals such as inhalants, glues, and solvents which are misused
by people. In this work, the time of use of volatile substances is determined using seven …