Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus

BackgroundThis study aimed to apply four machine learning algorithms to develop the optimal model to predict decline in platelet count (DPC) after interventional closure in children with patent ductus arteriosus (PDA).MethodsData from children with PDA who underwent successful transcatheter closure...

Full description

Bibliographic Details

Published in:	Frontiers in Pediatrics
Main Authors:	Song-Yue Zhang, Yi-Dong Zhang, Hao Li, Qiao-Yu Wang, Qiao-Fang Ye, Xun-Min Wang, Tian-He Xia, Yue-E He, Xing Rong, Ting-Ting Wu, Rong-Zhou Wu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-02-01
Subjects:	children decline in platelet count interventional closure machine learning patent ductus arteriosus
Online Access:	https://www.frontiersin.org/articles/10.3389/fped.2025.1519002/full