Authors:
Dragan Gamberger
1
;
Marin Prcela
1
;
Alan Jović
1
;
Tomislav Šmuc
1
;
Ganfranco Parati
2
;
Mariaconsuelo Valentini
2
;
Katarzyna Styczkiewicz
3
;
Kalina Kawecka-Jaszcz
3
;
Andrzej Kononowicz
3
;
Antonio Candelieri
4
;
Domenico Conforti
4
and
Rosita Guido
4
Affiliations:
1
Rudjer Boskovic Institute, Croatia
;
2
Cardiology II, S.Luca Hospital, Istituto Auxologico Italiano, Italy
;
3
Jagiellonian University Medical College, Poland
;
4
University of Calabria, Italy
Keyword(s):
Heart failure, knowledge representation, ontology, production rules.
Related
Ontology
Subjects/Areas/Topics:
Affective Computing
;
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Business Analytics
;
Cardiovascular Technologies
;
Cloud Computing
;
Cognitive Informatics
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Computing and Telecommunications in Cardiology
;
Confidentiality and Data Security
;
Data Engineering
;
Data Mining
;
Databases and Datawarehousing
;
Databases and Information Systems Integration
;
Datamining
;
Development of Assistive Technology
;
Devices
;
Distributed and Mobile Software Systems
;
e-Business
;
e-Commerce in the Health Sector
;
e-Health
;
Enterprise Information Systems
;
Expert Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Hospital Management Systems
;
Human-Computer Interaction
;
Human-Machine Interfaces for Disabled Persons
;
ICT for Cognitive Disabilities
;
ICT, Ageing and Disability
;
Integration/Interoperability
;
Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Medical and Nursing Informatics
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Online Medical Applications
;
Ontologies and the Semantic Web
;
Physiological Computing Systems
;
Physiological Modeling
;
Platforms and Applications
;
Practice Based Research Methods for Assistive Technology
;
Semantic Interoperability
;
Sensor Networks
;
Signal Processing
;
Simulation and Modeling
;
Socio-Economic Issues of Assistive Technology
;
Soft Computing
;
Software Agents and Internet Computing
;
Software and Architectures
;
Software Engineering
;
Symbolic Systems
;
Telemedicine
;
Therapeutic Systems and Technologies
;
Wearable Sensors and Systems
Abstract:
The paper presents the results of the development of the knowledge base for the HEARTFAID platform. The means and methods used to collect, systematize and formalize medical knowledge, as well as to test the developed knowledge representation are described. The descriptive part of the knowledge base is realized as an ontology which conceptualizes the heart failure medical domain. The procedural part of the knowledge base is realized through sets of production rules. The procedural knowledge covers the tasks of heart failure diagnosis, severity assessment, treatment process, medication prescription and dosage, medication contraindications, prognosis estimation, and acute decompensation detection. Finally, medical plans are used to present medical actionable knowledge. Currently they are used only to systemize procedural knowledge development process but they present a challenge for the future work in the field of medical knowledge representation.