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

doi:10.1016/0933-3657(89)90021-3

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 journal › Article › peer-review

8 Scopus citations

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 language	English (US)
Pages (from-to)	93-99
Number of pages	7
Journal	Artificial Intelligence In Medicine
Volume	1
Issue number	2
DOIs	https://doi.org/10.1016/0933-3657(89)90021-3
State	Published - 1989
Externally published	Yes

Keywords

expert system
foetal assessment
obstetrics
validation

ASJC Scopus subject areas

Medicine (miscellaneous)
Artificial Intelligence

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10.1016/0933-3657(89)90021-3

Cite this

@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.\}",

note = "Funding Information: Acknowledgements. This work was supportedb y the CICYT (PA86/230) and the FPI (plan generale n el extranjero).T he authors wish to thank H.C. Davis and J.C. Dushku, of the Departmento f Research Computing and Statisticso f the Medical College of Georgia. for their valuable suggestions in the statisticalt reatmento f validation data.",

year = "1989",

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 B.V.",

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.

N1 - Funding Information: Acknowledgements. This work was supportedb y the CICYT (PA86/230) and the FPI (plan generale n el extranjero).T he authors wish to thank H.C. Davis and J.C. Dushku, of the Departmento f Research Computing and Statisticso f the Medical College of Georgia. for their valuable suggestions in the statisticalt reatmento f validation data.

PY - 1989

Y1 - 1989

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 - https://www.scopus.com/pages/publications/0343365619

UR - https://www.scopus.com/pages/publications/0343365619#tab=citedBy

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

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

M3 - Article

AN - SCOPUS:0343365619

SN - 0933-3657

VL - 1

SP - 93

EP - 99

JO - Artificial Intelligence In Medicine

JF - Artificial Intelligence In Medicine

IS - 2

ER -

FOETOS in clinical practice: A retrospective analysis of its performance

Abstract

Keywords

ASJC Scopus subject areas

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