Consideration of physical condition in estimation of blood glucose via data mining.

Many diabetics carry a portable-type blood glucose monitor and collect their own blood to examine their blood glucose levels daily (self monitoring of blood glucose, SMBG). The use of a physical condition variable was suggested in order to estimate the blood glucose level for diabetics. Four sets of data, including FBG, food intake, metabolic rate and physical condition, were collected from four Type 1 diabetics over a five-month period. Using these data, an increasing or decreasing tendency for FBG for the next day was estimated using the data mining method. The results revealed that the estimation accuracy was improved when a physical condition variable was used. An average correspondence rate of 81 % was observed, with a maximum of 90 %. These results indicated that the data mining method could be effective in the estimation of blood glucose levels.