Machine Learning in Detecting Schizophrenia: An Overview

Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases

“…ML has been able to unravel hidden patterns, hence deepening the understanding of the aetiology and pathogenesis of PDD [ 18 ], thereby opening new treatment options and better management of the diseases. ML can link disease symptoms to the part of the brain from a given data, thereby precipitating from a large quantum of data to hidden associations that maps symptoms to PDD with minimal human input [ 19 ]. Such interconnections and associations among different regions of the human brain could be modelled using different data mining models and network analysis [ 20 ].…”