Prediction Performance Comparison of Risk Management and Control Mode in Regional Sites Based on Decision Tree and Neural Network

Prediction Performance Comparison of Risk Management and Control Mode in Regional Sites Based on Decision Tree and Neural Network

The traditional risk management and control mode (RMCM) in regional sites has the defects of low efficiency, high cost, and lack of systematism. Trying to resolve these defects and explore the application possibility of machine learning, a characteristic dataset for RMCM in regional sites was establ...

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Bibliographic Details
Main Authors: Wenhui Zhu, Jun He, Hongzhen Zhang, Liang Cheng, Xintong Yang, Xiahui Wang, Guohua Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Public Health
Subjects:
decision tree (DT)
artificial neural network (ANN)
regional sites
risk management and control mode (RMCM)
prediction performance
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.892423/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.892423/full

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