PROVIDING INTELLIGENT SOFTWARE TO DIAGNOSE THE TYPE AND SEVERITY OF MENTAL DISORDERS BASED ON QEEG: A COMPARATIVE STUDY BETWEEN THE STATISTICAL METHOD AND THE INTELLIGENT METHOD

Background: Identifying mental disorder biomarkers is one of the leading goals of the clinical science.Objectives: This study aimed to provide an artificial intelligence based solution and software program to diagnose the type and severity of mental disorders according to the quantitative electroencephalogram (QEEG) of patients.Materials and Method

Abstract Background Upper extremity deep vein thrombosis (UEDVT) is an uncommon disease but has to be carefully considered in patients with isolated unilateral upper limb swelling Thermometers due to its potential to cause devastating complications and sequelae such as pulmonary embolism and septic thrombophlebitis.Given the extreme rarity of this

Yannis Dionyssiotis1,2, Antonios Galanos1, Georgios Michas1, Georgios Trovas1, Georgios P Lyritis11Laboratory for Research of the Musculoskeletal System, University of Athens, KAT Hospital, Kifissia, Greece; 2Rehabilitation Department, Rhodes General Hospital, Rhodes, Bracelet Premium Box GreeceAbstract: The purpose of this study was to investigate