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Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China.

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Title: Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China.
Authors: Zhang, Yimin1 (AUTHOR), Liu, Zheng2 (AUTHOR) liuzheng@bjmu.edu.cn, Liu, Jingyao2 (AUTHOR), Chen, Jing2 (AUTHOR), Zhang, Xiaorui1 (AUTHOR) icy.zhang@163.com
Source: PLoS ONE. 3/25/2026, Vol. 21 Issue 3, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Yimin%22">Zhang, Yimin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Zheng%22">Liu, Zheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> liuzheng@bjmu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Jingyao%22">Liu, Jingyao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Jing%22">Chen, Jing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaorui%22">Zhang, Xiaorui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> icy.zhang@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 3/25/2026, Vol. 21 Issue 3, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192513802
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