The heterogeneity of schizophrenia makes it difficult to discover reliable imaging
biomarkers, and most existing fMRI-based classification methods fail to combine temporal …

Background: Interview-based schizophrenia (SCZ) diagnostic methods are not completely
valid. Moreover, SCZ-the disease entity is very heterogeneous. Supervised-Machine …

Schizophrenia is one of the serious mental disorders, which can suspend the patient from all
aspects of life. In this paper we introduced a new method based on the adaptive neuro fuzzy …

Electroencephalography (EEG) is an electrical activity measurement technique used to
identify brain activity in Schizophrenic patients. Novel machine learning methods have …

Schizophrenia (ScZ) is a devastating mental disorder of the human brain that causes a
serious impact of emotional inclinations, quality of personal and social life and healthcare …

Electroencephalogram is a low-cost, non-invasive, and high-entropy signal and thus has
huge potential for clinical diagnosis of neurological diseases and brain–computer interface …

Schizophrenia, a serious mental disorder, manifests as hallucinations, delusions, and
cognitive deprivations. Timely detection and intervention helps the person overcome the …

Electroencephalography (EEG) signals have been widely used for the prognosis and
diagnosis of several disorders, such as epilepsy, schizophrenia, Parkinson's disease etc …

Schizophrenia is a profound and enduring mental disorder that imposes significant negative
impacts on individuals, their families, and society at large. The development of more …

Schizophrenia (SZ), a psychiatric disorder for which there is no precise diagnosis, has had a
serious impact on the quality of human life and social activities for many years. Therefore, an …