Schizophrenia, a complex psychiatric disorder, presents a significant challenge in early
diagnosis and intervention. In this study, we introduce an intelligent approach to …

Schizophrenia is a chronic mental disorder that affects millions of people around the world.
Neurologists commonly use EEG signals to distinguish schizophrenia patients from normal …

Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …

Schizophrenia is a neurological disorder known for its potential to disrupt brain function and
cause erratic behavior. Timely diagnosis and intervention are crucial for improving patient …

Schizophrenia diagnosis, characterized by cognitive deficits, hallucinations, and delusions,
poses challenges due to its complex nature. Electroencephalogram (EEG) signals provide …

Schizophrenia, a complex mental health disorder, poses significant challenges for accurate
and efficient diagnosis. Current diagnostic methods often lack the precision required for …

This study proposes an innovative expert system that uses exclusively EEG signals to
diagnose schizophrenia in its early stages. For diagnosing psychiatric/neurological …

Schizophrenia is a prevalent psychiatric condition that places significant clinical demands
on both patients and their caregivers. An accurate and expeditious diagnosis is essential for …

Background The search for a method that utilizes biomarkers to identify patients with
schizophrenia from healthy individuals has occupied researchers for decades. However, no …

Recently, an increasing number of researchers have endeavored to develop practical tools
for diagnosing patients with schizophrenia using machine learning techniques applied to …