Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems.

Journal: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology

Published Date: Apr 1, 2018

Abstract

OBJECTIVE: To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) at 11-13 weeks' gestation using computational intelligence classification methods.

Authors

A C Neocleous

Department of Intelligent Systems Group, Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Groningen, The Netherlands.
A Syngelaki

Harris Birthright Research Centre for Fetal Medicine, King's College Hospital, London, UK.
K H Nicolaides

Harris Birthright Research Centre for Fetal Medicine, King's College Hospital, London, UK.
C N Schizas

Department of Computer Science, University of Cyprus, Nicosia, Cyprus.

Keywords

Artificial Intelligence Down Syndrome Female Humans Pregnancy Pregnancy Trimester, First Prenatal Diagnosis Risk Assessment Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (28640401)

Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals