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Obstetrical decision-making based on predictive expert analysis

  • Amparo Alonso-Betanzos(corresponding author)
    ,
  • Vicente Moret-Bonillo
    ,
  • Lawrence D. Devoe
    ,
  • John R. Searle
*Corresponding author for this work
  • Unknown
Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Related Event

Title

Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Event type

Other

Date

10/31/1991 - 11/03/1991

Location

Orlando, FL, USA

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.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English (US)

Pages from-to (Number of pages)

Pages 1300-1301 (2 pages)

Publication milestones

  • Published - 1991

Publication status

Published - 1991

Edition

pt 3

Publisher

Publ by IEEE

Publication series

  • Publication series name: Proceedings of the Annual Conference on Engineering in Medicine and Biology
    ISSN (Print): 0589-1019
    Volume: 13
    Number: pt 3
0780302168

Publication IDs

  • Scopus: 0026275741

Host publication title

Proceedings of the Annual Conference on Engineering in Medicine and Biology

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1

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Citation count
1