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Heart failure ontology

Jovic A., Gamberger D., Krstacic G.

Bio-Algorithms and Med-Systems

2011

Vol. 7, no. 2

101--110

Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. This paper presents a medical ontology describing the domain of heart failure (HF). Construction of ontology for a domain like HF is recognized as an important step in systematization of existing medical knowledge. The main virtue of ontology is that the represented knowledge is both computer and human-readable. The current development of the HF ontology is one of the main results of the EU Heartfaid project. The ontology has been implemented using Ontology Web Language and Protégé editing tool. It consists of roughly 200 classes, 100 relations and 2000 instances. The ontology is a precise, voluminous, portable, and upgradable representation of the HF domain. It is also a useful framework for building knowledge based systems in the HF domain, as well as for unambiguous communication between professionals. In the process of developing the HF ontology there have been significant technical and medical dilemmas. The current result should not be treated as the ultimate solution but as a starting point that will stimulate further research and development activities that can be very relevant for both intelligent computer systems and precise communication of medical knowledge.

HEARTFAID's eCRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients

Kononowicz A. A., Styczkiewicz K., Bacior B., Bošnjak M., Horvat R., Prcela M., Gamberger D., Sciacqua A., Valentini M. C., Kawecka-Jaszcz K., Parati G., Conforti D.

Bio-Algorithms and Med-Systems

2009

Vol. 5, no. 10

59--69

Case report forms are important sources of medical knowledge in all clinical studies. Electronic versions of these forms have several advantages compared to traditional paper-based questionnaires, and they have been adopted in many contemporary research projects in medicine. This paper presents a framework for creating case report forms designed with a two-level approach. Data at the generic information model level is stored in EAV (entity-attribute-value) tables and extended by tables facilitating specification of the questionnaire layout. The second layer (knowledge model) specifies the domain specific concepts describing the field of application of the questionnaire. This framework has been applied and tested in the frame of an EU FP6 research project - HEARTFAID - the objective of which was to build a knowledge-based platform supporting the management of elderly patients suffering from heart failure. Data collected by the electronic case report form (eCRF) was used in the project's knowledge discovery and decision support tasks. The work presents a new way for effective extraction of the data necessary for the integration with the knowledge discovery process in a distributed, service oriented framework of the HEARTFAID platform. It is demonstrated that it is feasible to implement these tasks using the two-level EAV table design.