NOESIS - Platform for wide scale integration and visual representation of medical intelligence (FP6-IST) (2004-01-01 - 2006-12-31) (»add to infobox)

Francesca ALBANESE, Blanco Rubio ANGEL, Pierre-James SPY-ANDERSON, Michel SIMONET, Paul PHILICHOWSKI, Secondo Felice SENSORIO, Dimitrios FOTIADIS, Lampros MICHALIS, Kyriacos FIAKKAS, Andreas PAPALOIZOU, Aggela KATODRITOU, Delphine SMAGGHE, N. N., N. N., N. N., N. N., N. N., N. N.

BOEHRINGER INGELHEIM ITALIA - S.P.A. (IT514 - Firenze) (Italy), SIEMENS (SPAIN) (NoRegion - ) (Spain), AIRIAL CONSEIL (FR105 - Hauts-de-Seine) (France), UNIVERSITE JOSEPH FOURIER GRENOBLE 1 (FR714 - Isère) (France), CENTRE HOSPITALIER UNIVERSITAIRE DE GRENOBLE (FR714 - Isère) (France), SESA - COMMERCE HANDELSGMBH (AT127 - Wiener Umland/Südteil) (Austria), UNIVERSITY OF IOANNINA (GR213 - Ioannina) (Greece), HELLENIC CARDIOLOGICAL SOCIETY (GR300 - Attiki) (Greece), NETVISION LIMITED (CY000 - Kypros) (Cyprus), MEDISELL CO LTD (CY000 - Kypros) (Cyprus), M.R.I. LEFKOTHEA MEDICAL SERVICES LTD. (CY000 - Kypros) (Cyprus), BUSINESS FLOW CONSULTING (FR105 - Hauts-de-Seine) (France), SWORD TECHNOLOGIES SA (LU000 - Luxembourg (Grand-Duché)) (Luxemburg), DAP NOESIS BUSINESS SOLUTIONS LIMITED (CY000 - Kypros) (Cyprus), LABORATOIRE TIMC (FR714 - Isère) (France), UNIVERSITE PIERRE MENDES FRANCE (FR714 - Isère) (France), CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR101 - Paris) (France), GRENOBLE INSTITUTE OF TECHNOLOGY (FR714 - Isère) (France)

NOESIS' objectives as an integrated project are twofold; Advancing research in the areasconcerned and increasing the exploitation potential of the produced system. The NOESIS projectaims at the development of a web-based personalised system with enhanced intelligence that willsupport health professionals in taking the best possible decision for prevention, diagnosis, andtreatment. The NOESIS system will assist health professionals in the diagnostic process, allowinga smooth transition from established medical knowledge to personal judgment through anenhanced site seer for medical sciences and a decision support framework capable of producing apreliminary diagnosis.The enhanced site seer will be based on a semantic integration platform associating medicalconcepts with information items, on a knowledge model for classification of extracted knowledgecomponents and on interactive multimodal and attentive interfaces. The semantic integration willassist intelligent agents to automatically reason about the information in the information retrievalprocess. Research will be conducted in several areas, including multimedia information retrievalbased on content similarity, classification algorithms based on hybrid methods combining fuzzyclustering and self organising maps (SOM), and dynamically generated distributed ontologies.On the other hand, the NOESIS system will put effort in research for generating an adaptableframework capable of reasoning about the patients' situation, producing a preliminary diagnosisand dealing with administered therapies. It will simulate the probabilistic reasoning that healthprofessionals implicitly perform, by producing qualitative and quantitative models representingdeterministic causal relationships and probabilistic associations between symptoms and diseases.The project will conclude with extensive testing and evaluation of the system by medical expertsand demonstration to well text truncated for the purposes of the ESR

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