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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

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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Detaylı Bibliyografya
Asıl Yazarlar: Kingsley Wong, Gizachew A. Tessema, Kevin Chai, Gavin Pereira
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2022-11-01
Seri Bilgileri:Scientific Reports
Online Erişim:https://doi.org/10.1038/s41598-022-23782-w
Etiketler: Etiketle
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