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Lipid metabolism-based machine learning models for predicting large for gestational age in non-diabetic pregnancies.

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Title: Lipid metabolism-based machine learning models for predicting large for gestational age in non-diabetic pregnancies.
Authors: Liu W; Department of Obstetrics and Gynecology, Deyang People's Hospital, Deyang, Sichuan, China., Xu Y; Department of Obstetrics and Gynecology, Deyang People's Hospital, Deyang, Sichuan, China., Mi C; Department of Obstetrics and Gynecology, Deyang People's Hospital, Deyang, Sichuan, China., Yan S; Department of Ultrasound, Deyang People's Hospital, Deyang, Sichuan, China.
Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 May 15; Vol. 17, pp. 1758008. Date of Electronic Publication: 2026 May 15 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Liu+W%22">Liu W</searchLink>; Department of Obstetrics and Gynecology, Deyang People's Hospital, Deyang, Sichuan, China.<br /><searchLink fieldCode="AU" term="%22Xu+Y%22">Xu Y</searchLink>; Department of Obstetrics and Gynecology, Deyang People's Hospital, Deyang, Sichuan, China.<br /><searchLink fieldCode="AU" term="%22Mi+C%22">Mi C</searchLink>; Department of Obstetrics and Gynecology, Deyang People's Hospital, Deyang, Sichuan, China.<br /><searchLink fieldCode="AU" term="%22Yan+S%22">Yan S</searchLink>; Department of Ultrasound, Deyang People's Hospital, Deyang, Sichuan, China.
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        Value: 10.3389/fendo.2026.1758008
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      – Code: eng
        Text: English
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      – TitleFull: Lipid metabolism-based machine learning models for predicting large for gestational age in non-diabetic pregnancies.
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            – D: 15
              M: 05
              Text: 2026 May 15
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              Y: 2026
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