ExaNLP/sket

This repository contains the source code for the Semantic Knowledge Extractor Tool (SKET). SKET is an unsupervised hybrid knowledge extraction system that combines a rule-based expert system with pre-trained machine learning models to extract cancer-related information from pathology reports.

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Stars

13

Forks

2

Language

Python

License

MIT

Category

clinical-concept-linking

Last pushed

Apr 18, 2023

Commits (30d)

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Clinical Concept Linking · 33 tools

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