ISSN: 2319-7293
Department of Analytical Research, Isfahan University of Technology, Khomeyni Shahr, Iran
Review Article
A Comprehensive Review and Analysis of Machine Learning Techniques for Predicting Drug Users: A Systematic Review
Author(s): Sara Mohebtash* and Behnam Sedghi
The objective of this review was to assess and analyze the application of machine learning techniques in predicting drug users. By examining the current research and literature, this review aims to identify the effectiveness, challenges and advancements in using machine learning algorithms to predict drug use behaviors. The intention was to provide insights into the potential uses of machine learning in predicting drug users and to highlight significant trends and future directions in this field. The utilization of machine learning to predict drug use has the potential to revolutionize the field of substance abuse prevention and intervention. Furthermore, machine learning algorithms can process vast amounts of data, enabling the identification of patterns that may not be apparent to human experts, resulting in more precise and effective interventions for substance abuse prevention. Fu.. View More»
DOI:
10.35248/2319-7293.25.14.247