victormurcia/PyUMLS_Similarity

This package computes a variety of similarity metrics between concepts present in the UMLS database. It also serves as a way to interface with the UMLS.

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Emerging

When you need to understand how related different medical terms or concepts are, this tool helps you automatically calculate their semantic similarity. You input pairs of medical terms (like 'hand' and 'skull' or 'renal failure' and 'kidney failure'), and it provides a score indicating their closeness, along with other insights like the shortest path between them in the UMLS knowledge base. This is for researchers, clinicians, or anyone working with medical terminology who needs to quantify relationships between concepts.

No commits in the last 6 months.

Use this if you need to systematically quantify the conceptual similarity between medical terms or CUI codes based on the extensive UMLS database.

Not ideal if you're looking for a simple, out-of-the-box solution, as it requires significant setup with Perl, MySQL, and the UMLS database itself.

medical-informatics clinical-research biomedical-nlp ontology-mapping terminology-management
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 9 / 25

How are scores calculated?

Stars

7

Forks

1

Language

Perl

License

MIT

Last pushed

Sep 16, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/victormurcia/PyUMLS_Similarity"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.