CNN and model fusion based blood glucose prediction method for diabetes
A technology of model fusion and prediction methods, applied in the field of machine learning, can solve problems such as diabetes that cannot be cured, and achieve good prediction results
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[0014] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0015] The implementation of the present invention uses jupyter notebook as the development platform and python as the development language. The data used comes from the Tianchi data platform with a total of 6642 patient physical examination data, and each data has 40 physical examination indicators. The evaluation of the results uses the mean square error (MSE) as the evaluation index of the prediction effect.
[0016]
[0017] The specific steps of the diabetes blood sugar prediction method based on CNN and model fusion of the present invention are as follows:
[0018] S1 preprocessing of data:
[0019] (1) Handling of blank values:
[0020] 1) For indicators with a large number of missing data, such as hepatitis B e antibody, hepatitis...
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