Sentence examples for classification of schizophrenia from inspiring English sources

The elevation of serum hsCRP in patients was not affected by gender, family history (P>0.05), and clinical classification of schizophrenia (P>0.05).

We then apply the algorithm to the diagnostic classification of schizophrenia using spatiotemporal patterns of brain activity during an n-back working memory task.

A revision of the characteristic symptoms and classification of schizophrenia is now in progress, and DSM-V will be published in 2013.

Nevertheless, it represented a feasible and pragmatic approach and reflected the fact that some major changes in the classification of schizophrenia both in the ICD and the DSM took place in the seventies.

There are reports of abnormal functional connectivity between the cerebellum and cortex even at rest: parameters of resting state functional connectivity between the frontal cortex and cerebellum had the biggest discriminative value from a set of several regions for classification of schizophrenia patients and healthy controls [ 19].

The DSM-5 work group proposed dropping the five sub-classifications of schizophrenia included in DSM-IV-TR: Paranoid type: Delusions or auditory hallucinations are present, but thought disorder, disorganized behavior, or affective flattening are not.

With regard to the age of onset and classification of types of schizophrenia or schizoaffective disorder, previous studies have adopted cut-off points.

This yields an overall accuracy of 76% which is comparable to the highest ever achieved in biomarker-based classification of patients with schizophrenia.

The accuracy of classification of patients with schizophrenia compared to healthy controls was at a similar level to the previous studies with an accuracy of 88 94% depending on the cortical lobe entered into the analysis.

Second, we show that high-accuracy single subject classification of patients with schizophrenia (n = 40) and healthy controls (n = 40) is possible based on temporal patterns of fNIRS data measured during a working memory task.

We used permutation testing to determine the overal model performance, that is whether the observed performance for the diagnostic classification of bipolar and schizophrenia subjects could have been expected by chance alone, by repeating the whole ANOVA model estimation and linear SVM classification process 1000 times after successive random permutation of the diagnostic labels of subjects.