Using ontologies to build a knowledge base of cardiology problems and algorithms

Whereas cardiology is knowledge-intensive and already well computerized, it is rather difficult to find appropriate algorithms, which solve medical informatics cardiology problems. In this paper, a knowledge base of problems and algorithms in cardiology via ontologies, as well as the architecture for a manageable and efficient search of appropriate algorithms will be presented and analyzed. The ontologies' construction could standardize the process of describing cardiology problems and algorithms from expert users - doctors and computer scientists respectively. These ontologies along with a set of instances-descriptions will generate informatics cardiology problems and algorithms knowledge base. A specific ontology was built, the MedProAlg ontology. The cardiology experts and the informatics experts described 32 medical informatics cardiology problems and algorithms that solve them correspondingly via MedProAlg.