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A Model of Self-Monitoring Blood Glucose Measurement Error
2017
Journal of Diabetes Science and Technology
A reliable model of the probability density function (PDF) of self-monitoring of blood glucose (SMBG) measurement error would be important for several applications in diabetes, like testing in silico insulin therapies. In the literature, the PDF of SMBG error is usually described by a Gaussian function, whose symmetry and simplicity are unable to properly describe the variability of experimental data. Here, we propose a new methodology to derive more realistic models of SMBG error PDF. Methods:
doi:10.1177/1932296817698498
pmid:28299958
pmcid:PMC5588839
fatcat:sjebwnfvrzaq5jy4yelwfcgvbq