A Variant Architecture Design for Intelligent Medical Search Engine (iMed)

Abstract: Nowadays both ordinary internet users and doctors are increasingly using the web search engines for searching medical information. iMed is one of the intelligent medical search engines that use medical knowledge and questionnaire for searching. iMed introduces and extends expert system technology in to the search engine domain. This search engine uses many key techniques to improve its usability and search result quality. iMed provides a questionnaire based query interface to users. But it has some issues within its design. This paper is focused on certain issues raised during the detailed study on the search engine. In this an enhanced system design is also proposed. The recommended enhancements improve the working and efficiency of the medical search engine.

Keywords: iMed, content based image retrieval, Pattern Matching, medical knowledge