Abstract:
Suicide is a neglected preventable public health problem across the globe and Bangladesh is
not an exception. Suicide can happen at any stage of life, it is the second most frequent and in
some countries it is the leading cause of death among people aged 12–35 years. Suicide happens
because of multi factorial involvement such as genetic, psychological, social, and cultural risk
factors. The purpose of this recent study was to calculate the percentage of committing suicide
based on the behavior of a person. A certain age group of people's information is being used to
get the result. By understanding several Machine Learning algorithms are being used to
develop a model that gives the result. Specific and standard questionnaires were asked to get
the data from approximately one thousand people via offline and online. The data was then
analyzed and preprocessed. Then seven Machine Learning Algorithms were applied. The result
that showing a person's individual percentage of committing suicide and it has a correlation
with Depression, Stress and Sexual Harassment.
