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Predicting the postoperative blood coagulation state of children with congenital heart disease by machine learning based on real-world data
18
Zitationen
6
Autoren
2021
Jahr
Abstract
ML technology and data mining algorithms may be used for outcome prediction in children with CHD for postoperative blood coagulation state based on the bulk of clinical data, especially CBC indictors from the real world.
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