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Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.

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Title: Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.
Authors: Chen, Songchang1 (AUTHOR), Li, Jia2,3 (AUTHOR), Zhang, Xiao2,3 (AUTHOR), Xu, Wenqiu2,3 (AUTHOR), Qiu, Zhixu2,3 (AUTHOR), Yan, Siyao4 (AUTHOR), Zhao, Wenrui2,3 (AUTHOR), Zhao, Zhiguang2,3 (AUTHOR), Tian, Peirun3 (AUTHOR), Zhao, Qiang5,6 (AUTHOR), Zhang, Qun5 (AUTHOR), Chen, Weiping5 (AUTHOR), Li, Huahua5 (AUTHOR), Ruan, Xiaohong5 (AUTHOR), Xiao, Gefei7 (AUTHOR), Zhang, Sufen7 (AUTHOR), Hu, Liqing7 (AUTHOR), Qin, Jie7 (AUTHOR), Huang, Wuyan7 (AUTHOR), Li, Zhongzhe8 (AUTHOR)
Source: BMC Medical Informatics & Decision Making. 5/1/2025, Vol. 25 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
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An: 184871837
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 5/1/2025, Vol. 25 Issue 1, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=184871837
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