Machine learning-based evaluation of application value of the USM combined with NIPT in the diagnosis of fetal chromosomal abnormalities

Machine learning-based evaluation of application value of the USM combined with NIPT in the diagnosis of fetal chromosomal abnormalities

Objective: To explore the soft ultrasound marker (USM) combined with non-invasive prenatal testing (NIPT) in diagnosing fetal chromosomal abnormalities based on machine learning and data mining techniques. Methods: To analyze the data of ultrasonic examination from 856 cases with high-risk sing...

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Bibliographic Details
Main Authors: Xianfeng Xu, Liping Wang, Xiaohong Cheng, Weilin Ke, Shenqiu Jie, Shen Lin, Manlin Lai, Linlin Zhang, Zhenzhou Li
Format: Article
Language:English
Published: AIMS Press 2022-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
usm
nipt
chromosome
fetus
machine learning
data mining
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022197?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2022197?viewType=HTML

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