Age Corrections and Dementia Classification Accuracy

Age corrections and dementia classification accuracy.

In contrast to expectations, demographic corrections to reduce biases against those of advanced age or few years of education does not universally improve diagnostic classification accuracy. Age corrections may be particularly problematic because age is also a risk factor for a dementia diagnosis. We found that simulating increased risk for dementia based on demographic variables, such as age, ...

Diagnostic accuracy of neuropsychological tests for classification of dementia

Although numerous studies have shown that each neuropsychological test is effective for diagnosing mild cognitive impairment (MCI) or Alzheimer’s disease (AD), studies comparing diagnostic accuracies of various neuropsychological tests are relatively rare and practical cutoff values are not available. The present study aimed to investigate the validity of neuropsychological tests and develop cu...

Additions and Corrections

Accuracy and Stability of Splitting with Stabilizing Corrections

This paper contains a convergence analysis for the method of Stabilizing Corrections, which is an internally consistent splitting scheme for initial-boundary value problems. To obtain more accuracy and a better treatment of explicit terms several extensions are regarded and analyzed. The relevance of the theoretical results is tested for convection-diffusion-reaction equations. 1991 Mathematics...

SFLA Based Gene Selection Approach for Improving Cancer Classification Accuracy

 In this paper, we propose a new gene selection algorithm based on Shuffled Frog Leaping Algorithm that is called SFLA-FS. The proposed algorithm is used for improving cancer classification accuracy. Most of the biological datasets such as cancer datasets have a large number of genes and few samples. However, most of these genes are not usable in some tasks for example in cancer classification....