“Scales and Scores” are simplified classification models designed to approximate complex clinical assessments/predictions that can be computed using simple pieces of data, and simple computations
These models pose several subtle challenges
Computability of the logic - e.g. “pain scale” vs “HAS-BLED score“
Availability of the all the (required) data / how to handle partial inputs
Precise semantics of the output concepts
Precise semantics of the input concepts
Refined definitions of how to query for the input concepts, based on the cohort that the model was trained/validated on