Abstract: A method for generating a software-implemented module for determining a glucose value in a body fluid. A first set of input data indicative of first values measured for first and a second input parameters is provided. A second set of input data indicative of second values for the first and second input parameters is also provided. The first and second sets of input data are processed by a physiological model to determine first and second sets of glucose values, respectively, in a body fluid. Training data is determined and a set of test data different from the training data is also determined. A software-implemented machine learning model configured to determine a glucose value in a body fluid of a patient is provided and is trained by the training data and is tested by the test data.