Using Advanced Data Science Techniques to Predict Suicide

The recent pandemic and protests aiming to achieve social equality and justice have highlighted the importance of mental health. Mental health is an important factor that determines not only the quality of life but also productivity. Furthermore, mental health conditions have significant negative spill-over effects, as they have a propensity to adversely affect relatives, friends, and coworkers of the suffering individuals. Suicide is perhaps the most extreme manifestation of the suffering mental health. The goal of this research is to identify economic, social, and psychological risk factors, and with the help of modern Data Science techniques identify individuals at a higher risk of suicide, in order to provide them with timely and effective help.