Case based reasoning for medical decision-support in a safety critical environment


Journal Article

Case-based reasoning systems applied to safety-critical environments justify specific measures to ensure that the assistance provided is not dangerous to human life. This article presents a case-based reasoning system developed for medical decision-support in a safety-critical environment, the CAREPARTNER system. Based on the evaluation of the reliability of the system, it stresses the importance to differentiate between reliability and safety, and how case-based reasoning can ensure safety. A knowledge-based approach has enabled to model what types of information are safety-critical, and to adapt the decision-support system results, by introspective reasoning, based on the knowledge type, the user, and the task. © Springer-Verlag Berlin Heidelberg 2003.

Full Text

Duke Authors

Cited Authors

  • Bichindaritz, I; Moinpour, C; Kansu, E; Donaldson, G; Bush, N; Sullivan, KM

Published Date

  • December 1, 2003

Published In

Volume / Issue

  • 2780 LNAI /

Start / End Page

  • 314 - 323

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

International Standard Serial Number (ISSN)

  • 0302-9743

Digital Object Identifier (DOI)

  • 10.1007/978-3-540-39907-0_43

Citation Source

  • Scopus