<commit_before>[![Build Status](https://travis-ci.org/nlpie/biomedicus.svg?branch=master)](https://travis-ci.org/nlpie/biomedicus)

Overview
========================================================================================================================

The BioMedical Information Collection and Understanding System (BioMedICUS) leverages open source solutions for
text analysis and provides new analytic tools for processing and analyzing text of biomedical and clinical reports.
The system is being developed by our biomedical NLP/IE program at the University of Minnesota.
This is a collaborative project that aims to serve biomedical and clinical researchers, allowing for customization
with different texts.


Wiki
========================================================================================================================

[Our wiki on GitHub](https://github.com/nlpie/biomedicus/wiki) contains information about installation, configuration,
use, and development of BioMedICUS.


About Us
========================================================================================================================

BioMedICUS is developed by the
[University of Minnesota Institute for Health Informatics NLP/IE Group](http://www.bmhi.umn.edu/ihi/research/nlpie/)
with assistance from the
[Open Health Natural Language Processing \(OHNLP\) Consortium](http://ohnlp.org/index.php/Main_Page).


Other Resources
========================================================================================================================

### NLP-TAB
<commit_msg>Contact and support info in README<commit_after>[![Build Status](https://travis-ci.org/nlpie/biomedicus.svg?branch=master)](https://travis-ci.org/nlpie/biomedicus)

Overview
========================================================================================================================

The BioMedical Information Collection and Understanding System (BioMedICUS) leverages open source solutions for
text analysis and provides new analytic tools for processing and analyzing text of biomedical and clinical reports.
The system is being developed by our biomedical NLP/IE program at the University of Minnesota.
This is a collaborative project that aims to serve biomedical and clinical researchers, allowing for customization
with different texts.


Wiki
========================================================================================================================

[Our wiki on GitHub](https://github.com/nlpie/biomedicus/wiki) contains information about installation, configuration,
use, and development of BioMedICUS.

Contact and Support
========================================================================================================================

BioMedICUS has a [Google Group](https://groups.google.com/a/umn.edu/forum/#!forum/biomedicus) for contacting developers 
with questions, suggestions or feedback. Also, bug reports and feature suggestions can be submitted to the Issues tab on 
GitHub.

About Us
========================================================================================================================

BioMedICUS is developed by the
[University of Minnesota Institute for Health Informatics NLP/IE Group](http://www.bmhi.umn.edu/ihi/research/nlpie/)
with assistance from the
[Open Health Natural Language Processing \(OHNLP\) Consortium](http://ohnlp.org/index.php/Main_Page).


Other Resources
========================================================================================================================

### NLP-TAB

{'fraction_non_alphanumeric': 0.35638297872340424, 'fraction_numerical': 0.0, 'mean_word_length': 8.0, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 7, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '5116507', 'n_tokens_mistral': 781, 'n_tokens_neox': 672, 'n_words': 260}