FACTOR ANALYSIS AND PREDICTION OF SUICIDE RATES BY COUNTRIES BASED ON DEEP LEARNING MODELS

Abstract

Suicide is one of the leading causes of death worldwide, which is highly worrying. Тhis paper applies artificial intelligence to analyze the factors that might influence suicide and predict the suicide rate for different groups. Several data sets containing different factors that might influence the countries' suicide rates were collected to analyze their importance. These factors include country, gender, age group, age, and unemployment rate. Multiple prediction approaches were applied to the preprocessed data: (1) a traditional approach (multiple regression models) and (2) a time series approach (using the LSTM model).