Diagnosis of schizophrenia: a comprehensive evaluation
Machine learning models have been successfully employed in the diagnosis of
Schizophrenia disease. The impact of classification models and the feature selection …
Schizophrenia disease. The impact of classification models and the feature selection …
Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images
Structural abnormalities in schizophrenia (SZ) patients have been well documented with
structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) …
structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) …
[HTML][HTML] Identifying schizophrenia using structural MRI with a deep learning algorithm
ObjectiveAlthough distinctive structural abnormalities occur in patients with schizophrenia,
detecting schizophrenia with magnetic resonance imaging (MRI) remains challenging. This …
detecting schizophrenia with magnetic resonance imaging (MRI) remains challenging. This …
Recognition of schizophrenia with regularized support vector machine and sequential region of interest selection using structural magnetic resonance imaging
Structural brain abnormalities in schizophrenia have been well characterized with the
application of univariate methods to magnetic resonance imaging (MRI) data. However …
application of univariate methods to magnetic resonance imaging (MRI) data. However …
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions
Schizophrenia (SCZ) is a brain disorder where different people experience different
symptoms, such as hallucination, delusion, flat-talk, disorganized thinking, etc. In the long …
symptoms, such as hallucination, delusion, flat-talk, disorganized thinking, etc. In the long …
Machine learning techniques in a structural and functional MRI diagnostic approach in schizophrenia: a systematic review
R de Filippis, EA Carbone, R Gaetano… - Neuropsychiatric …, 2019 - Taylor & Francis
Background Diagnosis of schizophrenia (SCZ) is made exclusively clinically, since specific
biomarkers that can predict the disease accurately remain unknown. Machine learning (ML) …
biomarkers that can predict the disease accurately remain unknown. Machine learning (ML) …
An efficient automated detection of schizophrenia using k-NN and bag of words features
Converging shreds of evidence from several research argue that the aberrations present in
a brain's Structural Magnetic Resonance Imaging (sMRI) are the leading cause of …
a brain's Structural Magnetic Resonance Imaging (sMRI) are the leading cause of …
Structural MRI-Based Schizophrenia Classification Using Autoencoders and 3D Convolutional Neural Networks in Combination with Various Pre-Processing …
R Vyškovský, D Schwarz, V Churová, T Kašpárek - Brain Sciences, 2022 - mdpi.com
Schizophrenia is a severe neuropsychiatric disease whose diagnosis, unfortunately, lacks
an objective diagnostic tool supporting a thorough psychiatric examination of the patient. We …
an objective diagnostic tool supporting a thorough psychiatric examination of the patient. We …
Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy …
HG Schnack, M Nieuwenhuis, NEM van Haren… - Neuroimage, 2014 - Elsevier
Although structural magnetic resonance imaging (MRI) has revealed partly non-overlapping
brain abnormalities in schizophrenia and bipolar disorder, it is unknown whether structural …
brain abnormalities in schizophrenia and bipolar disorder, it is unknown whether structural …