Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model

TL;DR

This paper introduces an interactive question-answer based system leveraging large-scale medical data to improve real-time medical information retrieval and interpretation.

Contribution

It presents a novel interactive model that enhances medical information search by integrating real-time question-answer interactions with big data.

Findings

Improved accuracy in medical information retrieval.

Enhanced user interaction for precise results.

Potential for real-time medical data interpretation.

Abstract

The Internet has become a very powerful platform where diverse medical information are expressed daily. Recently, a huge growth is seen in searches like symptoms, diseases, medicines, and many other health related queries around the globe. The search engines typically populate the result by using the single query provided by the user and hence reaching to the final result may require a lot of manual filtering from the user's end. Current search engines and recommendation systems still lack real time interactions that may provide more precise result generation. This paper proposes an intelligent and interactive system tied up with the vast medical big data repository on the web and illustrates its potential in finding medical information.