Glucose Calibration Modeling in Blood with Spline Regression Approaching to Non-Invasive Tools

Authors(3) :-Ria Hayatun Nur, Indahwati, Erfiani

In this globalization era, health is the most important thing to be able to run various activities. Without good health, this will hinder many activities. Diabetes mellitus is one of the diseases caused by unhealty lifestyle.There are many treatments that can be done to prevent the occurrence of diabetes. The treatments are giving the insulin and also checking the glucose rate to the patients.Checking the glucose rate needs the tools which is safety to the body. This research want to develop non invasive tool which is safety and do not injure the patient. The purpose of this research is also finding the best model which derived from Linear, Quadratic, and Cubic Spline Regression. Some respondents were taking to get the glucose measuring by invasive and non invasive tools. It could be seen clearly that Spline Linear Regression was the best model than Quadratic and Cubic Spline Regression. It had 70% and 33.939 for R2 and RMSEP respectively.

Authors and Affiliations

Ria Hayatun Nur
Statistics Department, Bogor Agricultural University, Bogor, West Java, Indonesia
Indahwati
Statistics Department, Bogor Agricultural University, Bogor, West Java, Indonesia
Erfiani

Diabetes Mellitus, Glucose, Spline, Regression

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Publication Details

Published in : Volume 4 | Issue 11 | November-December 2018
Date of Publication : 2018-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 144-149
Manuscript Number : IJSRSET2184111
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Ria Hayatun Nur, Indahwati, Erfiani, " Glucose Calibration Modeling in Blood with Spline Regression Approaching to Non-Invasive Tools, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 11, pp.144-149 , November-December-2018. Available at doi : https://doi.org/10.32628/IJSRSET2184111
Journal URL : http://ijsrset.com/IJSRSET2184111

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