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. |
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| 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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