BLOOD GLUCOSE PREDICTION METHOD AND DEVICE COMBINING BIG DATA MODEL AND PERSONALIZED MODEL

A blood glucose prediction method and device combining a big data model and a personalized model. The method comprises: training a big data blood glucose prediction model; receiving a first collected data set of a specified object; when a first data type is a label type, according to the first collected data set, updating a personalized database; if the updating is successful, counting the total number of personalized data records to generate a first total number; if the first total number is greater than or equal to a first threshold value, screening personalized data calibrated records; if the first total number is equal to a second threshold value, training a personalized blood glucose prediction model; when the first data type is a prediction type, counting the total number of personalized data records to generate a second total number; if the second total number is smaller than the second threshold value, on the basis of the big data blood glucose prediction model, making a prediction; and if the second