| abstract |
A method for predicting a hypoglycemic event or a hyperglycemic event includes (a) collecting one or more data streams, wherein at least one of the one or more data streams includes a glucose (GL) data stream corresponding to a user, (b) determining one or more features based on the one or more collected data streams, wherein at least one of the one or more features is distinct from each of the one or more data streams, (c) generating a prediction of whether or not a hypoglycemic event or a hyperglycemic event will occur by a prediction model based on the one or more features determined at (b), and (d) issuing an alert to the user in response to the prediction generated at (c) including a prediction that a hypoglycemic event or a hyperglycemic event will occur. |