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Intelligent knowledge retrieval for decision support in medical applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Knowledge management and retrieval are key issues to be addressed in the medical domain, where a large amount of information is generally available, and where the expert's skills need to be properly shared across the organisation, with the aim of improving the quality of care. Case Based Reasoning (CBR) is a very well suited methodology for the Knowledge Management task, when knowledge is in the operative form. Nevertheless, also well-assessed, formalised medical knowledge, such as clinical guidelines, should be made available to physicians in order to optimise their reasoning process. To take advantage of both knowledge types, we have defined a Multi Modal Reasoning methodology, that integrates CBR and Rule Based Reasoning, for supporting context detection, information retrieval and therapy revision in diabetes care.

Original languageEnglish
Title of host publicationMEDINFO 2001 - Proceedings of the 10th World Congress on Medical Informatics
PublisherIOS Press
Pages498-502
Number of pages5
ISBN (Print)1586031945, 9781586031947
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event10th World Congress on Medical Informatics, MEDINFO 2001 - London, United Kingdom
Duration: 2 Sept 20055 Sept 2005

Publication series

NameStudies in Health Technology and Informatics
Volume84
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference10th World Congress on Medical Informatics, MEDINFO 2001
Country/TerritoryUnited Kingdom
CityLondon
Period2/09/055/09/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Case Based Reasoning
  • Knowledge Management
  • Multi Modal Reasoning

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