Open AccessPredicting the postoperative blood coagulation state of children with congenital heart disease by machine learning based on real-world data
Author(s) -
Kai Guo,
Xiaoyan Fu,
Huimin Zhang,
Mengjian Wang,
Songlin Hong,
Shu-Xuan Ma
Publication year - 2021
Publication title -
translational pediatrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.702
H-Index - 13
eISSN - 2224-4344
pISSN - 2224-4336
DOI - 10.21037/tp-20-238
Subject(s) - support vector machine , medicine , receiver operating characteristic , adaboost , decision tree , naive bayes classifier , lift (data mining) , machine learning , artificial intelligence , random forest , statistics , computer science , mathematics
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