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Interpretable machine learning model for predicting low birth weight in singleton pregnancies: a retrospective cohort study.

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Title: Interpretable machine learning model for predicting low birth weight in singleton pregnancies: a retrospective cohort study.
Authors: Wu, Xiaojuan1 (AUTHOR), Zhao, Qingxiang2 (AUTHOR), Gao, Yong2 (AUTHOR), Zhang, Yiyu1 (AUTHOR), Xu, Linrui1 (AUTHOR), Cong, Xianzhu1 (AUTHOR), Sun, Na1 (AUTHOR), Shi, Fuyan1 (AUTHOR) shifuyan@sdsmu.edu.cn, Wang, Suzhen1 (AUTHOR) wangsz@sdsmu.edu.cn
Source: BMC Pregnancy & Childbirth. 11/3/2025, Vol. 25 Issue 1, p1-16. 16p.
Database: Academic Search Ultimate
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  Data: Interpretable machine learning model for predicting low birth weight in singleton pregnancies: a retrospective cohort study.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Pregnancy+%26+Childbirth%22">BMC Pregnancy & Childbirth</searchLink>. 11/3/2025, Vol. 25 Issue 1, p1-16. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189086169
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        Value: 10.1186/s12884-025-08318-0
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        Text: English
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              Text: 11/3/2025
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