| For: | Xu L, Sheng XJ, Gu LP, Yang ZM, Feng ZT, Gu DF, Gao L. Influence of perinatal factors on full-term low-birth-weight infants and construction of a predictive model. World J Clin Cases 2024; 12(26): 5901-5907 [PMID: 39286375 DOI: 10.12998/wjcc.v12.i26.5901] |
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| URL: | https://www.wjgnet.com/2307-8960/full/v12/i26/5901.htm |
| Number | Citing Articles |
| 1 |
Wei Bian, Wenting Zhang, Hui Liu, Linping Wang, Fang Wei, Yuan Yao. Development and preliminary evaluation of a machine learning model for predicting low birth weight using placental IVIM-MRI and maternal clinical characteristics. European Journal of Obstetrics & Gynecology and Reproductive Biology 2026; 318: 114930 doi: 10.1016/j.ejogrb.2025.114930
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| 2 |
Parisa Babamiry, Fatemeh Moghaddam Tabrizi, Vahid Alinejad. INVESTIGATING THE EFFECT OF MATERNAL AGE ON NEONATAL COMPLICATIONS AND OUTCOMES IN WEST AZERBAIJAN PROVINCE: A PROSPECTIVE COHORT STUDY. Nursing and Midwifery Journal 2025; 22(10): 828 doi: 10.61186/unmf.22.10.828
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| 3 |
Limin Chen, Hui Shao, Jianwei Zhang, Ruoya Wu. Developing predictive models for full-term low birth weight infants using ten machine learning algorithms. BMC Pediatrics 2025; 25(1) doi: 10.1186/s12887-025-06186-3
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