Down Syndrome Prediction Using a Cascaded Machine Learning Framework Designed for Imbalanced and Feature-correlated Data

Down Syndrome Prediction Using a Cascaded Machine Learning Framework Designed for Imbalanced and Feature-correlated Data

Down syndrome (DS) caused by the presence of part or all of a third copy of chromosome 21 is the most common form of aneuploidy. The prenatal screening for DS is a key component of antenatal care and is recommended to be universally offered to women irrespective of age or background. The objective o...

Full description

Bibliographic Details
Main Authors: Ling Li, Wanying Liu, Hongguo Zhang, Yuting Jiang, Xiaonan Hu, Ruizhi Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bioinformatics
down syndrome prediction
imbalanced learning
cascaded framework
ensemble learning
noninvasive prenatal diagnosis
Online Access:https://ieeexplore.ieee.org/document/8765717/

Similar Items

Similar Items