Time-series data analysis of blood sugar and HbA1c levels of diabetic

Author

Takeuchi, H. ; Ishikawa, Masatoshi ; Kodama, Naoki

Author_Institution

Dept. of Healthcare Inf., Taksasaki Univ. of Health & Welfare, Takasaki

fYear

2008

fDate

14-16 July 2008

Firstpage

1

Lastpage

4

Abstract

Time-series data analyses of blood sugar and HbA1c levels of a diabetic were presented. These analyses were based on the simple idea that accumulation of the effects of a person´s lifestyle could influence daily health with some delay, which may reflect complex bio-reactions in the human body. In these analyses, correlations of time-series data are checked focusing on the accumulation of effects of daily lifestyle, and on variation of daily health data. A retardation parameter is introduced. Rule-mining using the C5.0 algorithm following the time-series data analyses produced useful relationships among lifestyles, blood sugar level, and HbAlc level of a diabetic.

Keywords

biochemistry; blood; data analysis; data mining; diseases; medical computing; time series; C5.0 algorithm; bioreactions; blood sugar; daily health data; daily lifestyle; diabetic HbA1c levels; human body; retardation parameter; rule-mining; time-series data analysis; Diabetic; Rule-mining; Time-series data analysis;

fLanguage

English

Publisher

iet

Conference_Titel

Advances in Medical, Signal and Information Processing, 2008. MEDSIP 2008. 4th IET International Conference on

Conference_Location

Santa Margherita Ligure

ISSN

0537-9989

Print_ISBN

978-0-86341-934-8

Type

conf

Filename

4609077