A Machine Learning Prediction Model for Envisaging Future Risk of Suicide

Suicides are a serious matter in the modern society. In India, suicide ideation/attempt is noticed to be one of the most common trends amongst youth. With each succeeding year, suicide rates are increasing in India. The southern and eastern states of India exhibit trends of high suicide rates. Current methods of suicide ideation/attempt detection include clinical visits, online counseling, etc. This study aims to propose an automated system that focuses on envisaging suicide rates of vivid states of India. Moreover, the proposed system forecasts an individual’s risk of suicide with the help of a questionnaire filled and previously observed parameters. Machine learning techniques such as linear regression and decision-trees are used, which achieved 85.98% and 90.476% accuracy, respectively.