Obstetrical decision-making based on predictive expert analysis

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

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	Proceedings of the Annual Conference on Engineering in Medicine and Biology
Publisher	Publ by IEEE
Pages	1300-1301
Number of pages	2
Edition	pt 3
ISBN (Print)	0780302168
State	Published - Dec 1 1991
Externally published	Yes
Event	Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA Duration: Oct 31 1991 → Nov 3 1991

Publication series

Name	Proceedings of the Annual Conference on Engineering in Medicine and Biology
Number	pt 3
Volume	13
ISSN (Print)	0589-1019

Other

Other	Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	Orlando, FL, USA
Period	10/31/91 → 11/3/91

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

Obstetrical decision-making based on predictive expert analysis. / Alonso-Betanzos, Amparo; Moret-Bonillo, Vicente; Devoe, Lawrence D. et al.
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 proceeding › Conference 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.

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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.",

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booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",

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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.

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

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

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ER -

Obstetrical decision-making based on predictive expert analysis

Abstract

Publication series

Other

ASJC Scopus subject areas

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