Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats

Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats

Background In developing countries, maternal undernutrition is the major intrauterine environmental factor contributing to fetal development and adverse pregnancy outcomes. Maternal nutrition restriction (MNR) in gestation has proven to impact overall growth, bone development, and proliferation and...

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Bibliographic Details
Main Authors: Yong Liu, Cristian R. Munteanu, Qiongxian Yan, Nieves Pedreira, Jinhe Kang, Shaoxun Tang, Chuanshe Zhou, Zhixiong He, Zhiliang Tan
Format: Article
Language:English
Published: PeerJ Inc. 2019-10-01
Series:PeerJ
Subjects:
Fetal bone metabolism
Maternal malnutrition
Intrauterine growth retardation
Computational analysis
Machine learning
Online Access:https://peerj.com/articles/7840.pdf

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https://peerj.com/articles/7840.pdf

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