Syntactic NLP Techniques on Natural Language in Clinical Decision Support Engine

Abstract

The primary intention of the project is to build a clinical decision support engine, a system for assisting users in their medical emergency in making medical decisions in scenarios with constraints on time and knowledge. The engine initially looks similar to a search engine which facilitates users to search medical remedies. Resultant system will produce the immediate response to the user query and will be crucial to improve Golden Period of the user in emergency. System will also provide information about top five nearest hospitals/laboratories/pharmacy depending on the users need including ambulance services.

Here the focus is on the use of NLP techniques, which later combines with Classification techniques to provide precise definition of entities and their relationships in order to generate native sub-query, which will work as input for other Engines. System will also try to extract user’s approximate location with several other parameters using their connection information which will be useful in various means.