M. Ayaz AhmadSyed Khalid MustafaZeleniy, O.Lyashenko, V.2020-04-122020-04-122020Ahmad 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. 378-383.2347 - 3983http://openarchive.nure.ua/handle/document/11350A 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.enDiagnosticGlomerular Filtration RateWavelet CoherenceKidneyArticle