Obstetrical decision-making based on predictive expert analysis

Amparo Alonso-Betanzos, Vicente Moret-Bonillo, Lawrence D. Devoe, John R. Searle

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

1 Scopus citations

Abstract

The validation results for the prognostic module of the obstetrical expert system NST-EXPERT are presented. The validation method consists of calculating the percentages of man/machine agreement for the expert system and a team of three perinatologists. This comparison was carried out for the following three categories: man neonatal outcome prediction vs. machine neonatal outcome prediction, man/machine outcome prediction vs. real outcome, and man/machine bad outcome prediction vs. real bad outcome. The results suggest that the use of prognostic models, such as that of NST-EXPERT, in obstetrical expert systems can improve the quality of clinical assistance in high-risk pregnancies.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages1300-1301
Number of pages2
Editionpt 3
ISBN (Print)0780302168
StatePublished - Dec 1 1991
Externally publishedYes
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 3
Volume13
ISSN (Print)0589-1019

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Alonso-Betanzos, A., Moret-Bonillo, V., Devoe, L. D., & Searle, J. R. (1991). Obstetrical decision-making based on predictive expert analysis. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 3 ed., pp. 1300-1301). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 13, No. pt 3). Publ by IEEE.