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,

Abstract: A method of determining an insulin bolus to be administered by an insulin delivering device is disclosed. According to the inventive method, glucose measurement data corresponding to glucose level measurement signals detected by a continuous glucose sensor are received. An insulin bolus to be administered by the insulin delivering device is determined based on a formula having expressions indicative of, for example, glucose level derived from the glucose measurement data, carbohydrate-to-insulin ratio (CIR) and an insulin sensitivity factor (ISF). The method can be carried out using a processor of a device such as insulin pen, an insulin pump, a remote control device configured to remotely control an insulin pump or an insulin pen, a continuous glucose meter, a controller of a continuous glucose meter, a blood glucose meter, and a portable electronic device such as a smart phone, smart watch or tablet.