Sentence examples for dementia classification from inspiring English sources

Deng et al. [104] showed that using ANN can get higher sensitivity and accuracy than traditional discriminant function analysis [105] in dementia classification using MRI.

Thus, there is a strong demand for computer-aided automated dementia classification, which is expected to provide a useful "second opinion" and enable doctors to bypass the aforementioned issues.

The recent studies also suggest that deep learning, which is usually based on a hierarchical ANN, is effective in capturing high-level variations of brain images and improves the dementia classification [107, 108, 109].

A computer-aided automated dementia classification, thus, would provide a useful "second opinion".

Hence, feature selection plays a pivotal role in improving the performance of dementia classification.

We compared our GA-MKL algorithm to two state-of-the-art dementia classification methods on 129 clinical studies.

The steps that were carried out for detection of the prevalence of dementia and classification of its subtypes are demonstrated in Figure 1.

In both procedures, ICD-10 was used to diagnose dementia; for sub-classification, ICD-10 was used for AD and VaD, McKeith criteria for dementia with Lewy bodies, and the Manchester Lund criteria for frontotemporal dementia.

Accordingly, we suggest this method as a diagnostic standard for the classification of dementia syndromes.

Rothschild also questioned the traditional classification of dementia.

Among these cases, about half are symptomatic and few meet research classification of dementia.