What are the predominant parameters for Down syndrome risk estimation in first-trimester screening: a data mining study

This study aimed to evaluate the effect size of each parameter used in the first trimester Down syndrome (DS) risk analyses by using multiple regression analysis techniques.

Saved in:

Bibliographic Details
Published in:	Türk biyokimya dergisi Vol. 47; no. 6; pp. 704 - 709
Main Authors:	Kilercik, Meltem, Yozgat, Ihsan, Serdar, Muhittin A., Aksungar, Fehime, Göğüş, Sema, Solak, Semra, Kaya, Zelal Zuhal, Yayla, Ali Murat, Serteser, Mustafa
Format:	Journal Article
Language:	English
Published:	De Gruyter 28-12-2022
Subjects:	data mining first trimester Down syndrome (DS) risk analyses free beta-human chorionic gonadotropin (hCGβ) nuchal translucency (NT) pregnancy-associated plasma protein-A PAPP-A
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	This study aimed to evaluate the effect size of each parameter used in the first trimester Down syndrome (DS) risk analyses by using multiple regression analysis techniques.
ISSN:	1303-829X 1303-829X
DOI:	10.1515/tjb-2022-0004