Developer Guide

For Algorithm Developers

Technical Overview

• Technologies We Use
  • Docker
  • Solr
  • PostgresSQL
  • MongoDB
  • NLP Libraries (spaCy, textacy, nltk)
  • Luigi
  • Flask
  • Redis
  • Pandas
  • Client-side Libraries (React, Sails)
• Solr Setup and Configuration
  • Data types
  • Fields
  • Custom Solr Setup
  • Deleting documents
• Pipelines
  • Running a standalone pipeline from the command line

Utility Algorithms

• Section Tagging
• ConText
• Lexical Variants
• Sentence Tokenization
• Term-Frequency Matrix Preprocessor

Task Algorithms

• Term Finder
• Provider Assertion
• Finding Date Expressions
• Finding Time Expressions
• Finding Size Measurements
• Extracting Tumor Stage Information
• General Value Extraction
• Measurement-Subject Resolution

NLPQL Expression Evaluation Algorithms

• NLPQL Expression Evaluation

Building Custom Task Algorithms

• Custom Task Algorithms

Testing

• Testing NLP Algorithms

For App Developers

ClarityNLP Architecture

This library uses Python 3.6+. The source code is hosted here.

Here’s an overview of ClarityNLP’s architecture.

Third-Party App Integration

• Third Party App Integration

FHIR Integration

• FHIR Integration