Welcome to CLEP’s documentation!
Release notes : https://github.com/hybrid-kg/clep/releases
CLEP: A Hybrid Data- and Knowledge- Driven Framework for Generating Patient Representations.
CLEP has three main subgroups: sample_scoring, embedding, classify.
The
sample_scoringmodule generates a score for every patient-feature pair.
2. The embedding module overlays the patients on the prior knowledge in-order generate a new KG, whose embedding
is generated using KGE models from PyKEEN(Ali, et al.,2020).
3. The classify module classifies the generated embedding model (or any data that is passed to it) using generic
classification models.