Fig. 2.

Flowchart representation of the forecasting pipeline that adaptively combines training data and new patient measurements. The pipeline is divided into 3 phases: premeasurement based on the training cohort, measurements for the i-th patient, and patient-specific predictions. Squares represent information learned from the training cohort, and circles represent information measured or calculated for an individual patient. The entire prediction pipeline can be repeated with the additional measurements from the patient.