APPLICATION OF MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING SCHIZOPHRENIA PATIENTS FROM HEALTHY SUBJECTS USING FRONTAL LOBE FUNCTIONS ASSESSMENTS

Volume 33, Number 5 (2023)

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…

ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY USE IN HEALTHCARE AND ORAL DISEASE PREVENTION

Volume 32, Number 1 (2022)

Jurgita Andruškienė, Evelina Daugėlienė, Šarūnė Barsevičienė, Viktorija Venevičienė, Arnas Murauskas, Irma Spiriajevienė Abstract Artificial intelligence and virtual reality tools are chan­ging the healthcare experience for both patients and me­dical professionals. As the technology gets more affor­dable, it will be more and more widely adopted while more immersive technologies will come to the forefront. Methods –…