Once a person has CGM data, it can be analyzed using AI/ML to gather more information or to make a prediction about hypoglycemia. In this section, we see how we can use the algorithms we had learned in the previous chapters to make a glucose-predictor system.
We will build our predictor based on the research paper Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring sensor Time-Series by Sparacino et al. (10.1109/TBME.2006.889774).
In the paper, the CGM time series glucose data is described by a times series model; the paper considered two models, one a simple first order polynomial and second a first order autoregressive model. The model parameters are fitted at each ...
