Title
Rank Determination of Mental Functions by 1D Wavelets and Partial Correlation.
Abstract
The main aim of this paper is to classify mental functions by the Wechsler Adult Intelligence Scale-Revised tests with a mixed method based on wavelets and partial correlation. The Wechsler Adult Intelligence Scale-Revised is a widely used test designed and applied for the classification of the adults cognitive skills in a comprehensive manner. In this paper, many different intellectual profiles have been taken into consideration to measure the relationship between the mental functioning and psychological disorder. We propose a method based on wavelets and correlation analysis for classifying mental functioning, by the analysis of some selected parameters measured by the Wechsler Adult Intelligence Scale-Revised tests. In particular, 1-D Continuous Wavelet Analysis, 1-D Wavelet Coefficient Method and Partial Correlation Method have been analyzed on some Wechsler Adult Intelligence Scale-Revised parameters such as School Education, Gender, Age, Performance Information Verbal and Full Scale Intelligence Quotient. In particular, we will show that gender variable has a negative but a significant role on age and Performance Information Verbal factors. The age parameters also has a significant relation in its role on Performance Information Verbal and Full Scale Intelligence Quotient change.
Year
DOI
Venue
2017
10.1007/s10916-016-0606-2
J. Medical Systems
Keywords
Field
DocType
1-D continuous wavelet,Partial correlation,WAIS-R,Wavelet coefficient method,Wavelet packets
Data mining,Partial correlation,Wechsler Adult Intelligence Scale,Intelligence quotient,Continuous wavelet,Cognitive psychology,Cognitive skill,Mental functions,Statistics,Wavelet packet decomposition,Medicine,Wavelet
Journal
Volume
Issue
ISSN
41
1
1573-689X
Citations 
PageRank 
References 
1
0.35
3
Authors
5
Name
Order
Citations
PageRank
Y. Karaca142.46
Z. Aslan210.35
Carlo Cattani39226.22
D. Galletta410.35
Yu Zhang51196.28