Fusion of multi-regression models based on the histogram information for blood glucose estimation-Reference-Cited by-同舟云学术

Fusion of multi-regression models based on the histogram information for blood glucose estimation

Published:2023-01-24 Issue: Volume: Page:
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Author:

Wei Yiting¹,Guo Weizhi¹,Ling Bingo Wing-Kuen¹,Dai Yuheng¹,Liu Qing¹

Affiliation:

1. Guangdong University of Technology

Abstract

Abstract Diabetes is a chronic disease that severely degrades the human health. Hence, the blood glucose estimation plays an important role for monitoring the diabetic condition. In order to better estimate the blood glucose values, the multi-regression models are employed. It is worth noting that increasing the total number of the regression models would decrease the regression error. Therefore, this paper proposes a method for fusing the various regression models together based on the histogram information of the blood glucose values in the training set. The computer numerical simulation results show that the regression error yielded by our proposed method is significantly lower than those yielded by the existing methods. Also, our proposed method is also applicable for other regression applications.

Publisher

Research Square Platform LLC

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