Prediction of blood glucose level of type 1 diabetics using response surface methodology and data mining

• Published in: Medical & Biological Engineering & Computing Vol. 44; no. 6; pp. 451 - 457
• Main Authors: Yamaguchi, M., Kaseda, C., Yamazaki, K., Kobayashi, M.
• Format: Journal Article
• Language: English
• Published: United States Springer Science and Business Media LLC 01.06.2006; Springer Nature B.V
• Subjects: Accuracy; Adult; Basal Metabolism; Blood Glucose; Blood Glucose - metabolism; Data Interpretation, Statistical; Data mining; Diabetes; Diabetes Mellitus, Type 1; Diabetes Mellitus, Type 1 - blood; Eating; Fasting; Fasting - blood; Female; Glucose; Health Status Indicators; Humans; Male; Monitoring, Ambulatory; Monitoring, Ambulatory - methods; Trends; Variables

In order to improve the accuracy of predicting blood glucose levels, it is necessary to obtain details about the lifestyle and to optimize the input variables dependent on diabetics. In this study, using four subjects who are type 1 diabetics, the fasting blood glucose level (FBG), metabolic rate, f...