APPLICATION OF MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING SCHIZOPHRENIA PATIENTS FROM HEALTHY SUBJECTS USING FRONTAL LOBE FUNCTIONS ASSESSMENTS
Denisas Dankinas, Elzbieta Budginaitė, Sigita Mėlynytė, Aldona Šiurkutė, Kastytis Dapšys Abstract Machine learning (ML) represents a set of artificial intelligence techniques that can assist in recognition of schizophrenia by classifying a person as belonging to either clinical or healthy subjects group. In the current study, we employed cognitive assessments of frontal lobe functions (the deficit…