Method and means for postprandial blood glucose level prediction

Abstract

A method for predicting blood glucose levels, in particular, for postprandial blood glucose level prediction, the method being computer-implemented and comprising: receiving a first medical data set of a patient covering a time range, the first medical data set comprising glucose data and further other medical data of the patient, extracting a second medical data set from the first medical data set, wherein the second medical data set is a subset of the first medical data set and wherein the extracting comprises at least one of: identifying duplicates in the first medical data set and removing identified duplicates, identifying data values that lie above a predefined maximum threshold data value or identifying data values that lie below a predefined minimum threshold data value and removing data associated with the identified data values, identifying data values that differ from predetermined expected data values by more than a predetermined amount and removing data associated with the identified data values, identifying incomplete data for which data values are missing and removing identified incomplete data, identifying at least one predetermined time-dependent data pattern and removing data associated with the identified time-dependent data pattern, providing the extracted second medical data set as input to a blood glucose level prediction model, and predicting future blood glucose levels of the patient using the output of the blood glucose level prediction model based on the second medical data set.