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Predicting risk of stillbirth and preterm pregnancies with machine learning
Modelling the risk of abnormal pregnancy-related outcomes such as stillbirth and preterm birth have been proposed in the past. Commonly they utilize maternal demographic and medical history information as predictors, and they are based on conventional statistical modelling techniques. In this study,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096343/ https://www.ncbi.nlm.nih.gov/pubmed/32226625 http://dx.doi.org/10.1007/s13755-020-00105-9 |