MEDADVIS: a medical advisory system

Authors:
Zul Waker Al-Kabir;Kim Le;Dharmendra Sharma
Affiliations:
School of Information Sciences and Engineering, University of Canberra, ACT, Australia;School of Information Sciences and Engineering, University of Canberra, ACT, Australia;School of Information Sciences and Engineering, University of Canberra, ACT, Australia
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2005

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An active distributed medical advisory system

SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems

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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.