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Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015
Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and populati...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646808/ https://www.ncbi.nlm.nih.gov/pubmed/36352095 http://dx.doi.org/10.1038/s41598-022-23782-w |