Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model
This addresses the need for real-time, precise medical information retrieval for users, though it appears incremental as it builds on existing search and recommendation systems.
The paper tackles the problem of inefficient medical information retrieval by proposing an interactive question-answer system that leverages web-based medical big data, aiming to provide more precise results without manual filtering.
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.