Data Mining Algorithms and Statistical Techniques for Identification of Schizophrenia: A Survey

Abstract

Schizophrenia is a severe psychiatric condition marked by multiple symptoms, including perceptions, delusions and cognitive problems. Often, schizophrenia may difficult to identify because there is no diagnostic examination yet to identify it. Throughout recent years, machine learning methods have been widely extended to the study of neuroimaging evidence to better identify such disorders. The objective of this paper is to provide a systematic investigation of data mining techniques in Mental Health literature and provide research inputs for schizophrenia. We have investigated on all possible techniques applied in the research of Schizophrenia and concerns to be considered in future works. This review explains challenging research opportunities. Researches based on symptoms/external factors and data sets used are also given importance in this article.