Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation

arXiv:2404.15418v1 Announce Type: new
Abstract: The aim of this study is to look at predicting whether a person will complete a drug and alcohol rehabilitation program and the number of times a person attends. The study is based on demographic data obtained from Substance Abuse and Mental Health Services Administration (SAMHSA) from both admissions and discharge data from drug and alcohol rehabilitation centers in Oklahoma. Demographic data is highly categorical which led to binary encoding being used and various fairness …

abstract abuse aim alcohol arxiv cs.ai cs.cy cs.lg data fairness look machine machine learning machine learning techniques person prediction study type will