A methodology for validating intelligent systems in critical domains

Author

Bonillo, Vincente Moret ; Rey, Eduardo Mosqueira

Author_Institution

Dept. of Comput. Sci, Univ. de A Coruna, Spain

Volume

5

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

2026

Abstract

In this work the authors present a formal approach to carrying out an analysis of the performance of intelligent monitoring systems (IMS) in intensive care units (ICUs). In this approach the use of any of the existing paradigms depends on the particular characteristics of the domain, and on the architecture of the IMS. The proposed methodology is based on previous retrospective analysis in which quantitative techniques of validation are applied to investigate the performance of the system. This methodology has been successfully applied to evaluate PATRICIA, an intelligent monitoring system designed to guide clinicians in handling ICU patients long-term dependent on mechanical ventilation

Keywords

artificial intelligence; computerised monitoring; medical computing; patient care; patient monitoring; ICU patients; PATRICIA; critical domains; intelligent monitoring system; intelligent systems validation methodology; intensive care units; long-term mechanical ventilation-dependent patients; paradigms; retrospective analysis; system performance; Application software; Artificial intelligence; Computer science; Computerized monitoring; Intelligent systems; Knowledge representation; Patient monitoring; Performance analysis; Sampling methods; Ventilation;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.646410

Filename

646410