A classification framework for drug relapse prediction

Abstract

This paper proposes a framework for relapse prediction using Artificial Neural Network
algorithms among drug addicts at Pusat Rawatan Inabah. The data collected will be mining
through Artificial Neural Network algorithms to generate patterns and useful knowledge and
then automatically classifying the relapse possibility. This research collaborates with Pusat
Rawatan Inabah, which is one of the rehabilitation centers that provide a specific treatment to
rehabilitate the drug addicts from addiction. We expect that among the classification data
mining algorithms, Artificial Intelligence Neural Network (ANN) is one of the best
algorithms to predict relapse among drug addicts. This may help the rehabilitation center to
predict relapse individually and the prediction result is hoped to prevent drug addicts from
relapse.

Keywords: classification; artificial neural network; drug addiction; Inabah rehabilitation.