Improving the effectiveness of glucose tolerance tests using polynomial glycemic dynamics models
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Abstract
The subject. The procedure for polynomial approximation of the dynamics of the level of glycemia with active glucose tolerance testing. Objective. The rationale for reducing the number of glucose tolerance tests to build a polynomial model of the dynamics of glycemia. The task. Based on the results of a biomedical experiment, to study the effect of the type of diabetic disorders on the metric distance between the glycemic dynamics models. To evaluate the effect of decreasing the order of the polynomial model on the degree of effectiveness of identification of a diabetic state by direct comparison of inter functional distances for models corresponding to different diabetic states. Confirm the results by comparing the localized wavelet spectra for the studied polynomial models of glycemic dynamics. Conclusions. The possibility of restoring glycemic dynamics models in the form of polynomial regressions is shown. The effectiveness of such recovery for reduced polynomials (2nd order) has been proven, which ensures a decrease in the number of glucose tolerance tests by more than 2 times for rapid diagnosis of diabetes.
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References
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