Please use this identifier to cite or link to this item: http://openarchive.nure.ua/handle/document/11350
Title: Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease
Authors: M. Ayaz Ahmad
Syed Khalid Mustafa
Zeleniy, O.
Lyashenko, V.
Keywords: Diagnostic
Glomerular Filtration Rate
Wavelet Coherence
Kidney
Issue Date: 2020
Publisher: WARSE
Citation: Ahmad M. A., Mustafa S. K., Zeleniy O., Lyashenko V. Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease // International Journal of Emerging Trends in Engineering Research. – 2020. – Vol. 8(2). – P. 378-383.
Abstract: A study was conducted on the relationship between different markers in the diagnosis of kidney disease. As such markers were considered: glomerular filtration rate, renal arterial blood flow velocity, resistive renal artery index. The relationship between the markers was investigated taking into account the return and body mass index of patients. This allows you to identify various risk groups. We used wavelet coherence to explain the results of the relationship between markers and visualize the research process. The expediency of using the wavelet methodology for conducting intellectual diagnostics for the detection of kidney diseases is shown. As a prevailing preference in the study of markers for the diagnosis of kidney disease, a body mass index was determined. The results of various experiments are presented.
URI: http://openarchive.nure.ua/handle/document/11350
ISSN: 2347 - 3983
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