Relation Extraction in Clinical Text using NLP Based Regular Expressions

This paper is about relation extraction system for medical field related data. The major aim of our work is to retrieve different medical related data and to find out the relation between extracted medical data. Medical data usually contains a lot of unstructured or semi-structured data, by implementing methods like labeling and path similarity analysis we are able to convert it into a structured or classified form. Other methods that we use in our work are web scrapping, regular expressions, and part-of-speech tagging. All these methods are implemented in python.