Multiple linear regression model analysis in predicting fasting blood glucose level in healthy subjects
Diabetes mellitus referred to inability to produce or respond to hormone insulin resulted in elevated blood glucose level in human body. The purpose of this study was to investigate the relationship between fasting blood glucose, cholesterol and blood pressure levels in healthy subjects. 211 subject...
Main Authors: | Aishah, A. F. Q. A., Ummu Kulthum, Jamaludin, Zainuriah, M. R., Norhilda, A. K. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IOP Publishing
2019
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/24465/ http://umpir.ump.edu.my/id/eprint/24465/ http://umpir.ump.edu.my/id/eprint/24465/1/Multiple%20linear%20regression%20model%20analysis%20in%20predicting%20fasting%20blood%20glucose%20level%20in%20healthy%20subjects.pdf |
Similar Items
-
Investigation on the relationship between cholesterol and blood glucose levels using decision tree method in healthy subjects
by: Qurratu Aini Aishah, Ahmad Fazil, et al.
Published: (2017) -
Investigation on different types of blood glucose control system
by: Gopalakrishnan, Siva, et al.
Published: (2017) -
Comparison between fuzzy bootstrap weighted multiple linear regression and
multiple linear regression: a case study for oral cancer modelling
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018) -
JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2017) -
JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)