FOETOS in clinical practice: A retrospective analysis of its performance

Amparo Alonso-Betanzos, Lawrence D Devoe, Ramón A. Castillo, Vicente Moret-Bonillo, Carlos Hernández-Sande, Nancy S. Searle

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The results of the first validation of the prototype expert system FOETOS are presented. FOETOS is designed to assist the obstetrician in the diagnosis of antepartum and intrapartum foetal well-being. To evaluate the performance of this system, 20 delivered patients were selected for retrospective analysis. All patients underwent three antenatal tests (hon-stress test, foetal biophysical profile, and contraction stress test), and their labor data were available. The validation tool utilized was the man-machine performance method. While our results are encouraging, certain aspects of the system require modification to accommodate it to a real clinical environment. With such modifications FOETOS could be developed into a useful tool for the assessment of high risk pregnancies.

Original languageEnglish (US)
Pages (from-to)93-99
Number of pages7
JournalArtificial Intelligence In Medicine
Volume1
Issue number2
DOIs
StatePublished - Jan 1 1989

Fingerprint

Exercise Test
Expert Systems
High-Risk Pregnancy
Expert systems
Personnel

Keywords

  • expert system
  • foetal assessment
  • obstetrics
  • validation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Medicine(all)

Cite this

Alonso-Betanzos, A., Devoe, L. D., Castillo, R. A., Moret-Bonillo, V., Hernández-Sande, C., & Searle, N. S. (1989). FOETOS in clinical practice: A retrospective analysis of its performance. Artificial Intelligence In Medicine, 1(2), 93-99. https://doi.org/10.1016/0933-3657(89)90021-3

FOETOS in clinical practice : A retrospective analysis of its performance. / Alonso-Betanzos, Amparo; Devoe, Lawrence D; Castillo, Ramón A.; Moret-Bonillo, Vicente; Hernández-Sande, Carlos; Searle, Nancy S.

In: Artificial Intelligence In Medicine, Vol. 1, No. 2, 01.01.1989, p. 93-99.

Research output: Contribution to journalArticle

Alonso-Betanzos, A, Devoe, LD, Castillo, RA, Moret-Bonillo, V, Hernández-Sande, C & Searle, NS 1989, 'FOETOS in clinical practice: A retrospective analysis of its performance', Artificial Intelligence In Medicine, vol. 1, no. 2, pp. 93-99. https://doi.org/10.1016/0933-3657(89)90021-3
Alonso-Betanzos, Amparo ; Devoe, Lawrence D ; Castillo, Ramón A. ; Moret-Bonillo, Vicente ; Hernández-Sande, Carlos ; Searle, Nancy S. / FOETOS in clinical practice : A retrospective analysis of its performance. In: Artificial Intelligence In Medicine. 1989 ; Vol. 1, No. 2. pp. 93-99.
@article{cf4467fd9485488984bceb617a93a9ca,
title = "FOETOS in clinical practice: A retrospective analysis of its performance",
abstract = "The results of the first validation of the prototype expert system FOETOS are presented. FOETOS is designed to assist the obstetrician in the diagnosis of antepartum and intrapartum foetal well-being. To evaluate the performance of this system, 20 delivered patients were selected for retrospective analysis. All patients underwent three antenatal tests (hon-stress test, foetal biophysical profile, and contraction stress test), and their labor data were available. The validation tool utilized was the man-machine performance method. While our results are encouraging, certain aspects of the system require modification to accommodate it to a real clinical environment. With such modifications FOETOS could be developed into a useful tool for the assessment of high risk pregnancies.",
keywords = "expert system, foetal assessment, obstetrics, validation",
author = "Amparo Alonso-Betanzos and Devoe, {Lawrence D} and Castillo, {Ram{\'o}n A.} and Vicente Moret-Bonillo and Carlos Hern{\'a}ndez-Sande and Searle, {Nancy S.}",
year = "1989",
month = "1",
day = "1",
doi = "10.1016/0933-3657(89)90021-3",
language = "English (US)",
volume = "1",
pages = "93--99",
journal = "Artificial Intelligence in Medicine",
issn = "0933-3657",
publisher = "Elsevier",
number = "2",

}

TY - JOUR

T1 - FOETOS in clinical practice

T2 - A retrospective analysis of its performance

AU - Alonso-Betanzos, Amparo

AU - Devoe, Lawrence D

AU - Castillo, Ramón A.

AU - Moret-Bonillo, Vicente

AU - Hernández-Sande, Carlos

AU - Searle, Nancy S.

PY - 1989/1/1

Y1 - 1989/1/1

N2 - The results of the first validation of the prototype expert system FOETOS are presented. FOETOS is designed to assist the obstetrician in the diagnosis of antepartum and intrapartum foetal well-being. To evaluate the performance of this system, 20 delivered patients were selected for retrospective analysis. All patients underwent three antenatal tests (hon-stress test, foetal biophysical profile, and contraction stress test), and their labor data were available. The validation tool utilized was the man-machine performance method. While our results are encouraging, certain aspects of the system require modification to accommodate it to a real clinical environment. With such modifications FOETOS could be developed into a useful tool for the assessment of high risk pregnancies.

AB - The results of the first validation of the prototype expert system FOETOS are presented. FOETOS is designed to assist the obstetrician in the diagnosis of antepartum and intrapartum foetal well-being. To evaluate the performance of this system, 20 delivered patients were selected for retrospective analysis. All patients underwent three antenatal tests (hon-stress test, foetal biophysical profile, and contraction stress test), and their labor data were available. The validation tool utilized was the man-machine performance method. While our results are encouraging, certain aspects of the system require modification to accommodate it to a real clinical environment. With such modifications FOETOS could be developed into a useful tool for the assessment of high risk pregnancies.

KW - expert system

KW - foetal assessment

KW - obstetrics

KW - validation

UR - http://www.scopus.com/inward/record.url?scp=0343365619&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0343365619&partnerID=8YFLogxK

U2 - 10.1016/0933-3657(89)90021-3

DO - 10.1016/0933-3657(89)90021-3

M3 - Article

AN - SCOPUS:0343365619

VL - 1

SP - 93

EP - 99

JO - Artificial Intelligence in Medicine

JF - Artificial Intelligence in Medicine

SN - 0933-3657

IS - 2

ER -