https://github.com/nlpatvcu/medacy_model_clinical_notes
A medaCy compatible model for clinical note information extraction.
https://github.com/nlpatvcu/medacy_model_clinical_notes
Last synced: about 1 year ago
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A medaCy compatible model for clinical note information extraction.
- Host: GitHub
- URL: https://github.com/nlpatvcu/medacy_model_clinical_notes
- Owner: NLPatVCU
- License: gpl-3.0
- Created: 2018-12-23T21:42:12.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-05-25T19:22:52.000Z (about 6 years ago)
- Last Synced: 2025-03-29T06:11:18.649Z (about 1 year ago)
- Language: Python
- Size: 14.1 MB
- Stars: 11
- Watchers: 4
- Forks: 4
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
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# medaCy
:hospital: Clinical Notes Model for medaCy :hospital:
This repository contains a versioned, medaCy compatible Model for information extraction from clinical notes.

# Description
This is the light-weight version (no metamap) of medaCy's model for extracting 9 unique entities from clinical notes:
`Drug, Strength, Duration, Route, Form, ADE, Dosage, Reason, Frequency`
# Results
Model generalization ability is evaluated over 202 patient clinical note files not seen during training. *Strict* indicates exact matches of spans, *Lenient* indicates a fuzzy matching of spans (model predictions are off by single characters).
| Entities | Strict | Lenient |
| :-------: | :----------------: |:-------------:|
|Drug| | | |
|Strength| | |
|Duration | | |
|Route | | |
|Form | | |
|ADE | | |
|Dosage | | |
|Reason | | |
|Frequency | | |
|**System** | | |
# Training Data
N2C2 2018 Shared Task
The data used to induce this model is protected by HIPAA privacy regulations and thus cannot be published.
Authors
=======
Andriy Mulyar and Bridget McInnes
Acknowledgments
===============
- [VCU Natural Language Processing Lab](https://nlp.cs.vcu.edu/) 
- [Nanoinformatics Vertically Integrated Projects](https://rampages.us/nanoinformatics/)