InteLLigence
 
BIOPATTERN: Computational Intelligence for Biopattern Analysis in Support of eHealthcare
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Πληροφορίες Συμβολαίου
Τύπος Προγράμματος: SIXTH FRAMEWORK PROGRAMME
Ακρωνύμιο Προγράμματος: FP6-IST
Τύπος Συμβολαίου: NETWORK OF EXCELLENCE
Αριθμός Συμβολαίου: FP6-508803
Ημερομηνία Έναρξης: 2004-01-01
Ημερομηνία Λήξης: 2008-03-31
Κατάσταση Έργου: έχει ολοκληρωθεί
Προϋπολογισμός Εργαστηρίου: 180,000 ευρώ
Ρόλος Εργαστηρίου: συμβαλλόμενος
Επιστημονικός Υπεύθυνος Εργαστηρίου: Ευριπίδης Γ. Πετράκης
Περιγραφή Έργου

The BIOPATTERN Network of Excellence is a groundbreaking project that integrates key elements of European research to enable Europe to become a world leader in eHealth. The Grand Vision is to develop a pan-European, coherent and intelligent analysis of a citizen's bio-profile; to make the analysis of this bio-profile remotely accessible to patients and clinicians; and to exploit bio-profile to combat major diseases such as cancer and brain diseases.

A bio-pattern is the basic information (pattern) that provides clues about underlying clinical evidence for diagnosis and treatment of diseases. Typically, it is derived from specific data types, e.g. genomics information and vital bio-signals such as the EEG. A bio-profile is a personal 'fingerprint' that fuses together a person's current and past medical history, bio-patterns and prognosis. It combines data, analysis and predications of possible susceptibility to diseases.

BIOPATTERN proposes to provide novel computational intelligent techniques for bio-pattern analysis and a pan-European integrated, intelligent analysis of an individual's bio-profile. Information from distributed databases will be made available, securely, over the Internet to provide on-line algorithms, libraries and processing facilities for such analysis.

BIOPATTERN integrates the research efforts of 31 institutions across Europe to tackle and reduce fragmentation in the new field of bio-pattern and bio-profile analysis which will underpin eHealthcare in the post genome era. It brings together leading researchers in medical informatics and bio-informatics from academia, the healthcare sector and industry in a new way, harnessing expertise and information to put Europe at the forefront of eHealth.

BIOPATTERN aims to identify how bio-profile could be exploited for individualised healthcare such as disease prevention, diagnosis and treatment. Its ultimate goal is to become a Virtual Research Institute recognised as a world-leading scientific resource.

Πηγή Χρηματοδότησης: Network of Excellence. Funded by the European Commission, eHealthcare, FP6, IST.

Ρόλος: Participation in WP6: eOntologies under action Edelivery1: "architecture, and services, integration, data management, quality of service and security for medical networks"

Επιστημονικός Υπεύθυνος για το Εργαστήριο: Euripides G.M. Petrakis



Επίσημος Ιστοχώρος Έργου: http://www.biopattern.org
Σχετικές Δημοσιεύσεις
  • Πετράκης Ε., Βαρελάς Γ., Χλιαουτάκης Ά., Ραφτοπούλου Π.: Design and Evaluation of Semantic Similarity Measures for Concepts Stemming from the Same or Different Ontologies, 4th Workshop on Multimedia Semantics (WMS'06), Chania, Crete, Greece, June 19-21, 2006, pp. 44-52. Click here for transparencies.
    Τύπος Δημοσίευσης: Άρθρα σε Συμπόσια [περίληψη] [αρχείο]
  • Χλιαουτάκης Ά., Βαρελάς Γ., Βουτσάκης Ε., Πετράκης Ε., Μήλιος Ε.: Information Retrieval by Semantic Similarity, Journal on Semantic Web and Information Systems (IJSWIS), Special Issue of Multimedia Semantics, Vol. 3, No. 3, July/September, 2006, pp. 55-73, Copyright 2006, Idea Group Inc. www.idea-group.com. Posted by permission of the publisher.
    Τύπος Δημοσίευσης: Άρθρα σε Περιοδικά [περίληψη] [αρχείο]
  • Χλιαουτάκης Ά., Βαρελάς Γ., Πετράκης Ε., Μήλιος Ε.: MedSearch: A Retrieval System for Medical Information Based on Semantic Similarity, 10th ECDL European Conference on Research and Advanced Technology for Digital Libraries (ECDL'2006), September, 17-22, 2006. Alicante, Spain.
    Τύπος Δημοσίευσης: Άρθρα σε Συνέδρια [περίληψη] [αρχείο]
  • Πετράκης Ε., Βαρελάς Γ., Χλιαουτάκης Ά., Ραφτοπούλου Π.: X-Similarity: Computing Semantic Similarity between Concepts from Different Ontologies, Journal of Digital Information Management (JDIM), December 2006.
    Τύπος Δημοσίευσης: Άρθρα σε Περιοδικά [περίληψη] [αρχείο]