pyConTextNLP

This code has been validated using the included notebooks on Python v 3.7.2. Python 2.x is no longer supported.

pyConTextNLP is a Python implementation/extension/modification of the ConText algorithm described in `CITE <>`__ which is itself a generalization of the NegEx algorithm described in `CITE <>`__.

The package is maintained by Brian Chapman at the University of Utah. Other active and past developers include:

• Wendy W. Chapman
• Glenn Dayton
• Danielle Mowery

Introduction

pyConTextNLP is a partial implementation of the ConText algorithm using Python. The original description of pyConTextNLP was provided in Chapman BE, Lee S, Kang HP, Chapman WW, "Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm." J Biomed Inform. 2011 Oct;44(5):728-37

Other publications/presentations based on pyConText include: * Wilson RA, et al. "Automated ancillary cancer history classification for mesothelioma patients from free-text clinical reports." J Pathol Inform. 2010 Oct 11;1:24. * Chapman BE, Lee S, Kang HP, Chapman WW. "Using ConText to Identify Candidate Pulmonary Embolism Subjects Based on Dictated Radiology Reports." (Presented at AMIA Clinical Research Informatics Summit 2011) * Wilson RA, Chapman WW, DeFries SJ, Becich MJ, Chapman BE. "Identifying History of Ancillary Cancers in Mesothelioma Patients from Free-Text Clinical Reports." (Presented at AMIA 2010).

Note: we changed the package name from pyConText to pyConTextNLP because of a name conflict on pypi.

Installation

Latest Version

The latest version of pyConTextNLP is available on [github](https://github.com/chapmanbe/pyConTextNLP). The package can be installed by either cloning the repository and running python setup.py install. Alternatively or by .. code:: shell

pip install git+https://github.com/chapmanbe/pyConTextNLP.git

PyPi

pyConTextNLP is also available via the Python Package Index and can be installed via

pip install pyConTextNLP

Dependencies include

• networkx
• PyYAML

Tutorials

See the notebooks folder for a series of walkthroughs demonstrating pyConTextNLP core concepts with example data.

How to Use

I am working on improving the documentation and (hopefully) adding some testing to the code.

Some preliminary comments:

• pyConTextNLP works marks up text on a sentence by sentence level.
• pyConTextNLP assumes the sentence is a string not a list of words
• Our preferred way to represent knowledge is now with YAML files rather than TSV files.