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Classification of intrauterine growth restriction at 34–38 weeks gestation with machine learning models
OBJECTIVE: Intrauterine growth restriction (IUGR) is one of the most common causes of stillbirths. The objective of this study is to develop a machine learning model that will be able to accurately and consistently predict whether the estimated fetal weight (EFW) will be below the 10th percentile at...
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| Pubblicato in: | Inform Med Unlocked |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8128140/ https://ncbi.nlm.nih.gov/pubmed/34007875 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.imu.2021.100533 |
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