Prediction model development of late-onset preeclampsia using machine learning-based methods.

Prediction model development of late-onset preeclampsia using machine learning-based methods.

Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the lack of effective preventive measures, its prediction is essential to its prompt management. This study aimed to develop models using machine learning to predict late-onset preeclampsia using hospital...

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Bibliographic Details
Main Authors: Jong Hyun Jhee, SungHee Lee, Yejin Park, Sang Eun Lee, Young Ah Kim, Shin-Wook Kang, Ja-Young Kwon, Jung Tak Park
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0221202

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