Switching and customization of glucose prediction models in medicament delivery devices

A medicament delivery system for delivering medicament to a user, comprising:

• a non-transitory computer-readable storage medium storing computer programming instructions;
• a processor configured for executing the computer programming instructions to cause the processor to:
• access a history of medicament delivery doses and glucose level values of the user;
• based on the history, determine an improved fit of parameters for a glucose prediction model from the history relative to current parameters of the glucose prediction model, wherein the glucose prediction model determines predicted future glucose level values for the user from past glucose level values and past medicament delivery doses in the history, such that glucose prediction model using the improved fit parameters more accurately predicts future glucose level values than the glucose prediction model using the current parameters to predict future glucose level values when compared to predicting glucose level values in the history of glucose level values of the user;
• adapting the parameters based on the improved fit of parameters to produce adapted parameters;
• and
• use the glucose prediction model with the adapted parameters to predict at least one future glucose level value of the user.

A medicament delivery system for delivering medicament to a user, comprising:

• a non-transitory computer-readable storage medium storing computer programming instructions;
• a processor configured for executing the computer programming instructions to cause the processor to:
• use a current model to predict a response in analyte levels of the user to delivering a dose of medicament;
• responsive to detecting a condition, swap the current model for an additional model or updating the current model based on new analyte level data;
• and
• use the additional model or the updated current model to modify medicament dose delivery for the user.