Intelligent knowledge retrieval for decision support in medical applications

Stefania Montani, Riccardo Bellazzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 publicationStudies in Health Technology and Informatics
Pages498-502
Number of pages5
Volume84
DOIs
Publication statusPublished - 2001
Event10th World Congress on Medical Informatics, MEDINFO 2001 - London, United Kingdom
Duration: Sep 2 2005Sep 5 2005

Other

Other10th World Congress on Medical Informatics, MEDINFO 2001
CountryUnited Kingdom
CityLondon
Period9/2/059/5/05

Keywords

  • Case Based Reasoning
  • Knowledge Management
  • Multi Modal Reasoning

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Montani, S., & Bellazzi, R. (2001). Intelligent knowledge retrieval for decision support in medical applications. In Studies in Health Technology and Informatics (Vol. 84, pp. 498-502) https://doi.org/10.3233/978-1-60750-928-8-498