title: A JAVA implementation of a medical knowledge base for decision support.
abstract: 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.
authors.affiliation: Department of Computer Science, University of Hertfordshire, UK.
authors.forename: V
authors.initials: V
authors.lastname: Ambrosiadou
authors.forename: D
authors.initials: D
authors.lastname: Goulis
authors.forename: V
authors.initials: V
authors.lastname: Shankararaman
authors.forename: G
authors.initials: G
authors.lastname: Shamtani
mesh_terms: D001185:Artificial Intelligence; D003195:Computer Communication Networks; D003199:Computer Systems; D003628:Database Management Systems; D003661:Decision Support Techniques; D005103:Expert Systems; D006801:Humans; D008490:Medical Informatics; D012984:Software; D014584:User-Computer Interface