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Related Concept Videos

Seizures: Classification01:13

Seizures: Classification

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Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
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Focal Seizures
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Schizophrenia01:17

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Schizophrenia, a term introduced by Swiss psychiatrist Eugen Bleuler in 1911, describes a severe psychological disorder marked by profound disruptions in attention, thought processes, language, emotion, and interpersonal relationships. The core feature of schizophrenia is psychosis — a state characterized by a fundamental detachment from reality. This disconnection manifests through distorted logic, impaired perception, and atypical behavior, severely affecting the lives of those...
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Related Experiment Video

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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Classification of First-Episode Schizophrenia Using Wavelet Imaging Features.

Kateřina Maršálová1,2, Daniel Schwarz1,2, Ivo Provazník3

  • 1Masaryk University, Faculty of Medicine, Kamenice 5, 62500 Brno, Czech Republic.

Studies in Health Technology and Informatics
|June 24, 2020
PubMed
Summary

This study presents a novel algorithm for classifying magnetic resonance imaging (MRI) data to aid in schizophrenia diagnosis. The developed computer-aided diagnosis (CAD) system utilizes advanced feature extraction and selection techniques for improved accuracy.

Failed At:

2026-06-19T13:47:58.672293+00:00

Keywords:
Machine learningneuroimagingschizophreniasupport vector machines

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