An Efficient System Model for Identification of Drug Addiction

A specialist system consists of customized computer code designed to imitate the skills and knowledge of a human expert. Using equations derived from mathematics, this computer application finds solutions to highly complex complications. Intelligent systems are employed in many fields, including financial and computer design, but the most renowned use is in medicine, where they help doctors detect and treat sensitive diseases like cancer of the lungs, coronary artery disease, renal issues, tumors on the skin, insulin resistance, and many others early on. The core cause of all ailments, according to research into various illnesses, is the abuse of drugs. People who abuse drugs are more likely to get such life-threatening illnesses. Drug abuse has become a serious social issue throughout time. The goal is to develop a professional system that can determine a person's propensity for drug addiction to manage and inform each drug user so they may test them again for a cure without reluctance. Each parameter is selected after WEKA analysis. Using the decision tree ID3 algorithm, a specialized system is created. A psychological assessment, which has several different parameters or questions, may determine if a user is drug-prone or drug-addicted by classifying their responses into three states: Severe, Moderate, and Low.