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MedaCy is a text processing and learning framework built over [spaCy](https://spacy.io/) to support the lightning fast 
prototyping, training, and application of highly predictive medical NLP models. It is designed to streamline researcher 
workflow by providing utilities for model training, prediction and organization while insuring the replicability of systems.



# :star2: Features
- Highly predictive, shared-task dominating out-of-the-box trained models for medical named entity recognition.
- Customizable pipelines with detailed development instructions and documentation.
- Allows the designing of replicable NLP systems for reproducing results and encouraging the distribution of models whilst still allowing for privacy.
...

Former contributors: Andriy Mulyar, Jorge Vargas, Corey Sutphin, and Bobby Best

Acknowledgments
===============
- [VCU Natural Language Processing Lab](https://nlp.cs.vcu.edu/) 
- [Nanoinformatics Vertically Integrated Projects](https://rampages.us/nanoinformatics/)

	a/README.md		b/README.md
	...		...
5		5
6	MedaCy is a text processing and learning framework built over [spaCy](https://spacy.io/) to support the lightning fast	6	MedaCy is a text processing and learning framework built over [spaCy](https://spacy.io/) to support the lightning fast
7	prototyping, training, and application of highly predictive medical NLP models. It is designed to streamline researcher	7	prototyping, training, and application of highly predictive medical NLP models. It is designed to streamline researcher
8	workflow by providing utilities for model training, prediction and organization while insuring the replicability of systems.	8	workflow by providing utilities for model training, prediction and organization while insuring the replicability of systems.
9		9
10	![alt text](https://nlp.cs.vcu.edu/images/Edit_NanomedicineDatabase.png?raw=true "Nanoinformatics")
11		10
12	# :star2: Features	11	# :star2: Features
13	- Highly predictive, shared-task dominating out-of-the-box trained models for medical named entity recognition.	12	- Highly predictive, shared-task dominating out-of-the-box trained models for medical named entity recognition.
14	- Customizable pipelines with detailed development instructions and documentation.	13	- Customizable pipelines with detailed development instructions and documentation.
15	- Allows the designing of replicable NLP systems for reproducing results and encouraging the distribution of models whilst still allowing for privacy.	14	- Allows the designing of replicable NLP systems for reproducing results and encouraging the distribution of models whilst still allowing for privacy.
	...		...
78		77
79	Former contributors: Andriy Mulyar, Jorge Vargas, Corey Sutphin, and Bobby Best	78	Former contributors: Andriy Mulyar, Jorge Vargas, Corey Sutphin, and Bobby Best
80		79
81	Acknowledgments	80	Acknowledgments
82	===============	81	===============
83	- [VCU Natural Language Processing Lab](https://nlp.cs.vcu.edu/) ![alt text](https://nlp.cs.vcu.edu/images/vcu_head_logo "VCU")	82	- [VCU Natural Language Processing Lab](https://nlp.cs.vcu.edu/)
84	- [Nanoinformatics Vertically Integrated Projects](https://rampages.us/nanoinformatics/)	83	- [Nanoinformatics Vertically Integrated Projects](https://rampages.us/nanoinformatics/)