Clinical Decision Support Systems: Medical knowledge acquisition and representation methods

Author

Aleksovska-Stojkovska, Liljana ; Loskovska, Suzana

Author_Institution

Fac. of Electr. Eng. & Inf. Technol., Univ. Ss. Cyril & Methodius Skopje, Skopje, Macedonia

fYear

2010

fDate

20-22 May 2010

Firstpage

1

Lastpage

6

Abstract

Constructing the Knowledge Base (KB) of the Clinical Decision Support System (CDSS) is a crucial task that determines the success of the CDSS in general. The goal is to collect the medical knowledge from the relevant sources, systemize it and represent it in a formal human understandable and computer-interpretable manner. There are many different methodologies for acquisition and representation of the medical knowledge. This paper reviews and compares some of these methodologies to identify what has been achieved in the past and to provide directions for future research and improvements.

Keywords

decision support systems; knowledge acquisition; knowledge representation; medical information systems; clinical decision support systems; computer-interpretable manner; medical knowledge acquisition; medical knowledge representation; Decision support systems; Knowledge acquisition; Knowledge based systems; Medical diagnostic imaging; Ontologies; Unified modeling language; Clinical decision support system; inference engine; knowledge acquisition; knowledge base; knowledge representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electro/Information Technology (EIT), 2010 IEEE International Conference on

Conference_Location

Normal, IL

ISSN

2154-0357

Print_ISBN

978-1-4244-6873-7

Type

conf

DOI

10.1109/EIT.2010.5612183

Filename

5612183