Scholars@Duke

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

Publication ,  Journal Article
Bichindaritz, I; Moinpour, C; Kansu, E; Donaldson, G; Bush, N; Sullivan, KM
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
December 1, 2003
Published version (DOI)

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.

Duke Scholars

Keith Michael Sullivan
Author Keith Michael Sullivan Medicine, Hematologic Malignancies and Cellular Therapy
Altmetric Attention Stats
Dimensions Citation Stats

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/978-3-540-39907-0_43

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2003

Volume

2780 LNAI

Start / End Page

314 / 323

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Bichindaritz, I., Moinpour, C., Kansu, E., Donaldson, G., Bush, N., & Sullivan, K. M. (2003). Case based reasoning for medical decision-support in a safety critical environment. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2780 LNAI, 314–323. https://doi.org/10.1007/978-3-540-39907-0_43
Bichindaritz, I., C. Moinpour, E. Kansu, G. Donaldson, N. Bush, and K. M. Sullivan. “Case based reasoning for medical decision-support in a safety critical environment.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2780 LNAI (December 1, 2003): 314–23. https://doi.org/10.1007/978-3-540-39907-0_43.
Bichindaritz I, Moinpour C, Kansu E, Donaldson G, Bush N, Sullivan KM. Case based reasoning for medical decision-support in a safety critical environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2003 Dec 1;2780 LNAI:314–23.
Bichindaritz, I., et al. “Case based reasoning for medical decision-support in a safety critical environment.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2780 LNAI, Dec. 2003, pp. 314–23. Scopus, doi:10.1007/978-3-540-39907-0_43.
Bichindaritz I, Moinpour C, Kansu E, Donaldson G, Bush N, Sullivan KM. Case based reasoning for medical decision-support in a safety critical environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2003 Dec 1;2780 LNAI:314–323.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/978-3-540-39907-0_43

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2003

Volume

2780 LNAI

Start / End Page

314 / 323

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences