Predictive Modelling to Identify Risk Factors Leading to Opioid Addiction

Prescription Opioid Abuse continues to be a significant and growing problem in the United States. According to the National Institute of Drug Abuse, more than 115 Americans die every day from an opioid overdose. Considering the graveness of the situation, this project aims at briefly studying the current trends and literature pertaining to the opioid epidemic and coming up with preventive measures. This was done by studying prevalent literature and data available on this subject to analyze patterns and trends of opioid addiction to help identify risk factors, using predictive modelling.Master of Science in Information Scienc