NLPatVCU/medaCy
Medical text mining and NLP framework built on spaCy for training predictive models on clinical data.
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medaCy is a text processing and learning framework built on spaCy designed specifically for the medical domain. It provides utilities for model training, prediction, and organization of medical NLP systems. The framework includes pre-trained models for medical named entity recognition and supports customizable pipelines for clinical text processing. It is maintained by researchers at Virginia Commonwealth University.
Frequently asked
- What is NLPatVCU/medaCy?
- Medical text mining and NLP framework built on spaCy for training predictive models on clinical data.
- Is medaCy open source?
- Yes — NLPatVCU/medaCy is open source, released under the GPL-3.0 license.
- What language is medaCy written in?
- NLPatVCU/medaCy is primarily written in Python.
- How popular is medaCy?
- NLPatVCU/medaCy has 438 stars on GitHub.
- Where can I find medaCy?
- NLPatVCU/medaCy is on GitHub at https://github.com/NLPatVCU/medaCy.