A Java Implementation of a Medical Knowledge Base for Decision Support

• Main Authors: AMBROSIADOU, B. V., Goulis, D. G., Shankararaman, Venky, Shamtani, G.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 1999
• Subjects: Health and Medical Administration; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/171
• Institution: Singapore Management University

Distributed decision support is a challenging issue requiring the implementation of advanced computer science techniques together with tools of development which offer ease of communication and efficiency of searching and control performance. This paper presents a JAVA implementation of a knowledge base model called ARISTOTELES which may be used in order to support the development of the medical knowledge base by clinicians in diverse specialised areas of interest. The advantages that are evident by the application of such a cognitive model are ease of knowledge acquisition, modular construction of the knowledge base and greater acceptance from clinicians.