Abstract: This research was conducted as part of ENGIN-298 at Contra Costa College by Ali Ahmad Siddiqui with the assistance of Dr. Chao Liu from Fall 2022 to Fall 2023. Drug-use is a societal crisis that is in-need of desperate mitigation and alleviation. In this paper, we claim that machine learning algorithms are highly effective in assessing the likelihood for an individual to engage in the use of certain drugs. In particular, we show how machine learning algorithms can be trained using real- world data collected from users who consume a variety of different drugs in order to give insight into the drug-use for unknown individuals.
Keywords: certain drugs, societal crisis, machine learning algorithms.
Title: A Comparative Study of Machine Learning Algorithms for the Prediction of Drug-Abuse - A Classification Approach
Author: Ali Ahmad Siddiqui, Dr. Chao Liu
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
Vol. 12, Issue 1, January 2024 - March 2024
Page No: 23-35
Research Publish Journals
Website: www.researchpublish.com
Published Date: 05-January-2024
