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 Citation (Scopus)

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
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

Fingerprint

Decision making
Expert systems

ASJC Scopus subject areas

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

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.

Obstetrical decision-making based on predictive expert analysis. / Alonso-Betanzos, Amparo; Moret-Bonillo, Vicente; Devoe, Lawrence D; Searle, John R.

Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 3. ed. Publ by IEEE, 1991. p. 1300-1301 (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 13, No. pt 3).

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

Alonso-Betanzos, A, Moret-Bonillo, V, Devoe, LD & Searle, JR 1991, Obstetrical decision-making based on predictive expert analysis. in Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 3 edn, Proceedings of the Annual Conference on Engineering in Medicine and Biology, no. pt 3, vol. 13, Publ by IEEE, pp. 1300-1301, Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, USA, 10/31/91.
Alonso-Betanzos A, Moret-Bonillo V, Devoe LD, Searle JR. Obstetrical decision-making based on predictive expert analysis. In Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 3 ed. Publ by IEEE. 1991. p. 1300-1301. (Proceedings of the Annual Conference on Engineering in Medicine and Biology; pt 3).
Alonso-Betanzos, Amparo ; Moret-Bonillo, Vicente ; Devoe, Lawrence D ; Searle, John R. / Obstetrical decision-making based on predictive expert analysis. Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 3. ed. Publ by IEEE, 1991. pp. 1300-1301 (Proceedings of the Annual Conference on Engineering in Medicine and Biology; pt 3).
@inproceedings{fb7fe9fbf884447fab4b284533c43119,
title = "Obstetrical decision-making based on predictive expert analysis",
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.",
author = "Amparo Alonso-Betanzos and Vicente Moret-Bonillo and Devoe, {Lawrence D} and Searle, {John R.}",
year = "1991",
month = "12",
day = "1",
language = "English (US)",
isbn = "0780302168",
series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
publisher = "Publ by IEEE",
number = "pt 3",
pages = "1300--1301",
booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
edition = "pt 3",

}

TY - GEN

T1 - Obstetrical decision-making based on predictive expert analysis

AU - Alonso-Betanzos, Amparo

AU - Moret-Bonillo, Vicente

AU - Devoe, Lawrence D

AU - Searle, John R.

PY - 1991/12/1

Y1 - 1991/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0026275741&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026275741&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0026275741

SN - 0780302168

T3 - Proceedings of the Annual Conference on Engineering in Medicine and Biology

SP - 1300

EP - 1301

BT - Proceedings of the Annual Conference on Engineering in Medicine and Biology

PB - Publ by IEEE

ER -