The Machine Learning Standards (MLS) module provides a series of Machine Learning models that allow building comparative standards for highly relevant activity and quality indicators, analytically optimized taking into account multiple variables collected in an episode. In this way, we will obtain standards that can capture many more peculiarities than the existing norms, usually calculated with simple mathematical formulations about groups that are not necessarily homogeneous, and that therefore can be more effective when comparing performance between different hospitals. The application of the MLS models will be as much for relevant indicators of Specialized Care as Primary.