MEDADVIS: A Medical Advisory System

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

An advisory system has always been a central need for medical practitioners and specialists for the last few decades. Most of current medical retrieval systems are based on passive databases. Actually, the data stored in any information storage system is a rich source of knowledge, which needs appropriate techniques to discover. This paper introduces the design of a well-structured knowledge-base system that holds patient medical records. The proposed system will be equipped with data mining and AI techniques such as statistics, neural network, fuzzy logic, generic algorithm, etc., so that it becomes an active distributed medical advisory system.
Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems Proceedings, Part II
Editors Khosla, Howlett, Jain.
Place of PublicationGermany
PublisherSpringer
Pages789-795
Number of pages7
ISBN (Print)9783540288954
Publication statusPublished - 2005
Event9th International Conference KES 2005 (Knowledge-Based Intelligent Information and Engineering Systems) - Melbourne, Australia
Duration: 14 Sep 200516 Sep 2005

Conference

Conference9th International Conference KES 2005 (Knowledge-Based Intelligent Information and Engineering Systems)
CountryAustralia
CityMelbourne
Period14/09/0516/09/05

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  • Cite this

    Le, K., & Sharma, D. (2005). MEDADVIS: A Medical Advisory System. In Khosla, Howlett, & Jain. (Eds.), Knowledge-Based Intelligent Information and Engineering Systems Proceedings, Part II (pp. 789-795). Springer.