Authors:
Christoph M. Friedrich
1
;
Martin Hofmann-Apitius
1
;
Robert Dunlop
2
;
Ioannis Chronakis
3
;
Miriam C. J. M. Sturkenboom
4
;
Roelof Risselada
4
;
Baldo Oliva
5
and
Ferran Sanz
5
Affiliations:
1
Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Germany
;
2
Infermed Ltd, United Kingdom
;
3
Oxford University; UCL, United Kingdom
;
4
Erasmus MC, Medical Informatics, Netherlands
;
5
Research Unit on Biomedical Informatics (GRIB) IMIM/UPF, Spain
Keyword(s):
Knowledge Discovery, Decision Support, Intracranial Aneurysm.
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:
Intracranial Aneurysms are bulbous expansions of the intracranial vessels, that may rupture and lead to
sub-arachnoid haemorrhage, which can result in severe disability or death of the affected person. The prediction of the individual rupture risk of a patient based on information from images, haemodynamic simulations, clinical parameters and genetic markers is one of the aims of the European Integrated Project @neurIST. The predicted rupture risk is meant to support decision making on clinical treatment. We will present initial results on Knowledge Discovery through a combination of text-mining, data integration from public bioinformatics data sources, and database mining. Additionally, we provide first results for decision support through knowledge based clinical guidelines and Bayesian networks.