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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Hlavní autoři:	Amir Ahmad, Wasif Khan, Md. Mozakkir Ansari, Mohammad M. Masud, Nadirah Ghenimi, Luai A. Ahmed
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-12-01
Edice:	Scientific Reports
Témata:	Very preterm birth Extreme preterm birth One-class classification Outlier prediction Anomaly prediction Ensemble model
On-line přístup:	https://doi.org/10.1038/s41598-025-29219-4
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