Artificial intelligence based diabetes precision medical treatment predictive modeling platform and method of implementing the same

A method of implementing a diabetes predictive modeling platform utilizing artificial intelligence based analysis predicting glucose levels comprising the steps of:

• Providing an artificial neural network for predicting glucose levels configured predicating glucose levels of a given patient;
• Supervised learning of the platform based upon a supervised learning data set including at least historic Glucose measurements, Insulin treatment history, and history of onset of hypoglycemic symptoms for at least one patient for developing a platform model for predicting glucose levels of any patient;
• Validating the platform model for predicting glucose levels of any patient by providing validating data set comprising Glucose measurements, Insulin treatment history, and history of onset of hypoglycemic symptoms for at least one patient with each patient of the validation data set having a predetermined ground truth glucose levels to be predicted by the platform model;
• Implementing the platform model for predicting glucose levels on a specific given patient data set by the artificial neural network to predict the glucose levels of the specific given patient.