Development and validation of a machine learning-based predictive model for secondary post-tonsillectomy hemorrhage

Development and validation of a machine learning-based predictive model for secondary post-tonsillectomy hemorrhage

BackgroundThe main obstacle to a patient's recovery following a tonsillectomy is complications, and bleeding is the most frequent culprit. Predicting post-tonsillectomy hemorrhage (PTH) allows for accurate identification of high-risk populations and the implementation of protective measures. Ou...

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Bibliographic Details
Main Authors: Xiandou Hu, Zixuan Yang, Yuhu Ma, Mengqi Wang, Weijie Liu, Gaoya Qu, Cuiping Zhong
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Surgery
Subjects:
chronic tonsillitis
tonsillectomy
secondary hemorrhage
machine learning
predictive model
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2023.1114922/full

Internet

https://www.frontiersin.org/articles/10.3389/fsurg.2023.1114922/full

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