Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data

Abstract Background Constructing a predictive model is challenging in imbalanced medical dataset (such as preeclampsia), particularly when employing ensemble machine learning algorithms. Objective This study aims to develop a robust pipeline that enhances the predictive performance of ensemble machi...

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Hlavní autoři:	Yinyao Ma, Hanlin Lv, Yanhua Ma, Xiao Wang, Longting Lv, Xuxia Liang, Lei Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2025-03-01
Edice:	BioData Mining
Témata:	Preeclampsia Prediction model Ensemble machine learning Class imbalance Resampling technique
On-line přístup:	https://doi.org/10.1186/s13040-025-00440-1
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data

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