Smart Self-Immolation Prediction Techniques: An Analytical Study for Predicting Suicidal Tendencies Using Machine Learning Algorithms

Abstract

Suicide, one of the most important concerns in the world, is causing one death in every 40 seconds, according to WHO. Since the last 45 years, having the suicide rate increasing by 45% around the world is raising a question with the adaptability of fast lifestyle and complexities related to this smart technological era. Especially in a developing country like India, the increasing problem of suicidal tendency among young generations and middle-aged persons raises a question mark for the well-being in this smart city–oriented highly technological scenario. Among many reasons of suicide, depression is a big factor behind many deaths in today’s scenario. This chapter not only highlights the factors responsible for suicidal tendency but also performs a study on several models and machine learning–based applications for anticipating the suicidal tendency of a person by remote monitoring, which is very essential to prevent the attempt of such a devastating crime. Priority has been imposed upon depression as a cause of suicidal tendencies.