Time-series data analysis of blood sugar and HbA1c levels of diabetic
Time-series data analysis of blood sugar and HbA1c levels of diabetic
- Author(s): H. Takeuchi ; M. Ishikawa ; N. Kodama
- DOI: 10.1049/cp:20080461
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- Author(s): H. Takeuchi ; M. Ishikawa ; N. Kodama Source: 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP 2008), 2008 page ()
- Conference: 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP 2008)
- DOI: 10.1049/cp:20080461
- ISBN: 978 0 86341 934 8
- Location: Santa Margherita Ligure, Italy
- Conference date: 14-16 July 2008
- Format: PDF
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. (4 pages)
Inspec keywords: blood; data mining; data analysis; medical computing; diseases; time series; biochemistry
Subjects: Other topics in statistics; Biology and medical computing; Data handling techniques
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