Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Apr 16;12(4):1009.
doi: 10.3390/diagnostics12041009.

Use of a Feed-Forward Back Propagation Network for the Prediction of Small for Gestational Age Newborns in a Cohort of Pregnant Patients with Thrombophilia

Petronela Vicoveanu  1 , Ingrid Andrada Vasilache  1 , Ioana Sadiye Scripcariu  1 , Dragos Nemescu  1 , Alexandru Carauleanu  1 , Dragos Vicoveanu  2 , Ana Roxana Covali  3 , Catalina Filip  4 , Demetra Socolov  1
Affiliations

Use of a Feed-Forward Back Propagation Network for the Prediction of Small for Gestational Age Newborns in a Cohort of Pregnant Patients with Thrombophilia

Petronela Vicoveanu et al. Diagnostics (Basel). .

Abstract

(1) Background: Fetal growth restriction is a relatively common disorder in pregnant patients with thrombophilia. New artificial intelligence algorithms are a promising option for the prediction of adverse obstetrical outcomes. The aim of this study was to evaluate the predictive performance of a Feed-Forward Back Propagation Network (FFBPN) for the prediction of small for gestational age (SGA) newborns in a cohort of pregnant patients with thrombophilia. (2) Methods: This observational retrospective study included all pregnancies in women with thrombophilia who attended two tertiary maternity hospitals in Romania between January 2013 and December 2020. Bivariate associations of SGA and each predictor variable were evaluated. Clinical and paraclinical predictors were further included in a FFBPN, and its predictive performance was assessed. (3) Results: The model had an area under the curve (AUC) of 0.95, with a true positive rate of 86.7%, and a false discovery rate of 10.5%. The overall accuracy of our model was 90%. (4) Conclusion: This is the first study in the literature that evaluated the performance of a FFBPN for the prediction of pregnant patients with thrombophilia at a high risk of giving birth to SGA newborns, and its promising results could lead to a tailored prenatal management.

Keywords: machine learning; small for gestational age; thrombophilia.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Graphic representation of the FFBPN model.
Figure 2
Figure 2
Graphic representation of area under the curve (AUC) and receiver operating characteristic curve (ROC) for our Feed-Forward Back Propagation Network (FFBPN).
Figure 3
Figure 3
Graphic representation of the confusion matrix with the true positive rates (TPR) and false negative rates (FNR) for the prediction of SGA newborns (listed here as 2) when using a Feed-Forward Back Propagation Network (FFBPN).
Figure 4
Figure 4
Graphic representation of the confusion matrix with the positive predictive values (PPV) and false discovery rates (FDR) for the prediction of SGA newborns (listed here as 2) when using a Feed-Forward Back Propagation Network (FFBPN).
Figure 5
Figure 5
Graphic representation of the Pearson correlation matrix for the included predictors.
See this image and copyright information in PMC

References

    1. Kramer M.S., Olivier M., McLean F.H., Willis D.M., Usher R.H. Impact of intrauterine growth retardation and body proportionality on fetal and neonatal outcome. Pediatrics. 1990;86:707–713. doi: 10.1542/peds.86.5.707. - DOI - PubMed
    1. Beune I.M., Damhuis S.E., Ganzevoort W., Hutchinson J.C., Khong T.Y., Mooney E.E., Sebire N.J., Gordijn S.J. Consensus definition of fetal growth restriction in intrauterine fetal death: A Delphi procedure. Arch. Pathol. Lab. Med. 2021;145:428–436. doi: 10.5858/arpa.2020-0027-OA. - DOI - PubMed
    1. Suhag A., Berghella V. Intrauterine growth restriction (IUGR): Etiology and diagnosis. Curr. Obstet. Gynecol. Rep. 2013;2:102–111. doi: 10.1007/s13669-013-0041-z. - DOI
    1. Romo A., Carceller R., Tobajas J. Intrauterine growth retardation (IUGR): Epidemiology and etiology. Pediatr. Endocrinol. Rev. 2009;6:332–336. - PubMed
    1. Maulik D. Fetal growth restriction: The etiology. Clin. Obstet. Gynecol. 2006;49:228–235. doi: 10.1097/00003081-200606000-00006. - DOI - PubMed

LinkOut - more resources