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Early prediction of very and extreme preterm births using a one-class classification framework on electronic health records in UAE

Abstract Very Preterm birth (vPTB) and extreme Preterm birth (xPTB) are the major concerns in maternal and child healthcare and are associated with increased morbidity and mortality. Machine learning methods have traditionally been used to predict preterm births (vPTB and xPTB). However, most medica...

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Autori principali: Amir Ahmad, Wasif Khan, Md. Mozakkir Ansari, Mohammad M. Masud, Nadirah Ghenimi, Luai A. Ahmed
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2025-12-01
Serie:Scientific Reports
Soggetti:
Very preterm birth
Extreme preterm birth
One-class classification
Outlier prediction
Anomaly prediction
Ensemble model
Accesso online:https://doi.org/10.1038/s41598-025-29219-4
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