Chat-bot: An Information Retrieving for Myocardial Infarction and Diabetes

Medical information is being very important type for clinicians. We aim to build clinical chat-bot which holds information about diseases namely diabetes and heart diseases. Chat- bots are designed to make people feel they are interacting to a human for their related queries rather to believe for machine feelings. These chat-bot are computer program coded to build textual and conversation which are intelligent and gives us logical replies which are already learned. This research focuses to design such type of bot which act on two said major diseases so the working chat-bot will provide interaction between machine and man where machine will function as a virtual doctor here chat-bot will play a leading role by working as a virtual assistant and skipping the gap between patients and clinicians.

Advances in IR Query Expansion

As the internet is becoming rich with huge information, retrieving the wanted information is a huge challenge. Due to huge variation in framing a query by the individuals, matching of the terms with the document to be searched are facing many challenges. Researchers have worked on problem of identifying the correct essence of the user query by adding additional useful terms. They are currently working on this kind of Query Expansion (QE). There are many proposals like Manually, Iterative and Automatic QE. In this work we compare these different techniques and analyze for their strength and weaknesses.