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INITIAL RESULTS ON KNOWLEDGE DISCOVERY AND DECISION SUPPORT FOR INTRACRANIAL ANEURYSMS

Topics: Affective Computing; Cognitive Informatics; Confidentiality and Data Security; Databases and Datawarehousing; Datamining; Decision Support Systems; Development of Assistive Technology for Independent Living; e-Commerce in the Health Sector; Ehealth; Expert Systems in Healthcare; Hospital Management Systems; Human-Machine Interfaces for Disabled Persons; ICT for Cognitive Disabilities; ICT, Ageing and Disability; Interoperability; Medical and Nursing Informatics; Online Medical Applications; Physiological Modeling; Practice Based Research Methods for Assistive Technology; Semantic Interoperability; Socio-Economic Issues of Assistive Technology; Telemedicine; Therapeutic Systems and Technologies; Wearable Health Informatics

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

ISBN: 978-989-8111-16-6

ISSN: 2184-4305

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.

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Paper citation in several formats:
M. Friedrich C.; Hofmann-Apitius M.; Dunlop R.; Chronakis I.; C. J. M. Sturkenboom M.; Risselada R.; Oliva B.; Sanz F. and (2008). INITIAL RESULTS ON KNOWLEDGE DISCOVERY AND DECISION SUPPORT FOR INTRACRANIAL ANEURYSMS.In Proceedings of the First International Conference on Health Informatics - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 265-272. DOI: 10.5220/0001045802650272

@conference{special session on knowledge discovery and decision support systems in health information systems08,
author={Christoph {M. Friedrich} and Martin Hofmann{-}Apitius and Robert Dunlop and Ioannis Chronakis and Miriam {C. J. M. Sturkenboom} and Roelof Risselada and Baldo Oliva and Ferran Sanz},
title={INITIAL RESULTS ON KNOWLEDGE DISCOVERY AND DECISION SUPPORT FOR INTRACRANIAL ANEURYSMS},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems, (BIOSTEC 2008)},
year={2008},
pages={265-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001045802650272},
isbn={978-989-8111-16-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems, (BIOSTEC 2008)
TI - INITIAL RESULTS ON KNOWLEDGE DISCOVERY AND DECISION SUPPORT FOR INTRACRANIAL ANEURYSMS
SN - 978-989-8111-16-6
AU - M. Friedrich, C.
AU - Hofmann-Apitius, M.
AU - Dunlop, R.
AU - Chronakis, I.
AU - C. J. M. Sturkenboom, M.
AU - Risselada, R.
AU - Oliva, B.
AU - Sanz, F.
PY - 2008
SP - 265
EP - 272
DO - 10.5220/0001045802650272

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