Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 545-547.

• Interdiscipline & Application • Previous Articles     Next Articles

Analysis of Factors Influencing Fasting Plasma Glucose Based on Multiple Linear Regression

ZHANG Fu-wang, YUAN Hui-juan   

  1. Institute of Measurement and Control Technology and Communication Engineering,Harbin University of Science and Technology,Harbin 150080,China
  • Online:2019-02-26 Published:2019-02-26

Abstract: A kind of fasting plasma glucose factors analysis method based on multiple linear regression analysis was proposed by analyzing the relationship ofinfluencing factors of fasting plasma glucose.Firstly,the data of major factors influencing fasting plasma glucose is collected,including serum total cholesterol,triglyceride,fasting insulin,and glyca-ted hemoglobin.Later,these influencing factors are analyzed and determined through scatter diagram.The multiple li-near regression model based on least square method is constructed by the collected data.Meanwhile,through stepwise regression,the revised model is otained.At last,this model is applied to determine the key factors that affect fasting pla-sma glucose,so as to give diet guidance for diabetic patients,and provide reference for the clinical treatment of doctors.

Key words: Fasting plasma glucose, Least-square method, Multiple linear regression, Stepwise regression

CLC Number: 

  • O212.4
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