Authors:
Sara Colantonio
1
;
Massimo Martinelli
1
;
Davide Moroni
1
;
Ovidio Salvetti
1
;
Francesco Perticone
2
;
Angela Sciacqua
2
;
Franco Chiarugi
3
;
Domenico Conforti
4
;
Antonio Gualtieri
4
and
Vincenzo Lagani
4
Affiliations:
1
Inst. of Information Science and Technologies,ISTI-CNR, Italy
;
2
Univerity Magna Graecia, Italy
;
3
Institute of Computer Science (ICS), Foundation for Research and Technology – Hellas (FORTH), Greece
;
4
University of Calabria, Italy
Keyword(s):
Decision Support Theory, Echocardiographic Imaging Analysis, Signal Processing.
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 European STREP project HEARTFAID aims at defining an innovative platform of services able to intelligently support clinical operators in the daily management of heart failure patients. The core of the platform intelligence is a Clinical Decision Support System, developed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools for the analysis of diagnostic data, i.e. signals and images. Aiming at showing how all these issues are combined in the HEARTFAID platform, we present a comprehensive use case, centred on echocardiography workflow and covering the clinical course leading from visit scheduling to therapeutic choices, highlighting the intervention and the value added by the Clinical Decision Support System.