Welcome to CLEP’s documentation!

Release notes : https://github.com/hybrid-kg/clep/releases


Documentation Status GitHub License

CLEP: A Hybrid Data- and Knowledge- Driven Framework for Generating Patient Representations.

CLEP has three main subgroups: sample_scoring, embedding, classify.

  1. The sample_scoring module 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.

Indices and tables