Cluster Analysis of Co-occurring Human Personality Traits and Depression.

Methods of artificial intelligence are widely used in medicine and psychology. Their development gives hope to find various interconnections between human characteristics and states that would not be possible without the use of advanced computer science technologies. The aim of this paper is to use unsupervised machine learning to investigate whether there are any relationships between human personality traits and susceptibility to depression. It is well known that diseases like depression are associated with many factors and it is very difficult to isolate them. Using the tool of clusterization, an analysis of personality traits co-occurring with depressive states was carried out, using publicly available data base containing reliable questionnaire studies.