Figure 2. Generation of a machine learning-based model.

An overview of the application of the machine learning approach as it relates to physiologic signature generation. New patient data is featurized to create input from physiologic variables. The model is derived and internally validated on a cohort of training data. It is then applied to a test case for the detection and prediction of clinical instability. New data may be added to the training set to refine model performance.