Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015
Abstract 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...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2022-11-01
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| Serie: | Scientific Reports |
| Accesso online: | https://doi.org/10.1038/s41598-022-23782-w |
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