Decision support analysis for risk identification and control of patients affected by COVID-19 based on Bayesian Networks

作者：

Highlights：

• Propose an innovative Bayesian model to control the risk of COVID-19 patients.

• Propose two indicators to verify the feasibility and effectiveness of the model.

• Provide the tool for risk assessment in the field of epidemics.

摘要

•Propose an innovative Bayesian model to control the risk of COVID-19 patients.•Propose two indicators to verify the feasibility and effectiveness of the model.•Provide the tool for risk assessment in the field of epidemics.

论文关键词：Decision support analysis,Bayesian networks (BNs),COVID-19,Risk identification and control,Machine learning

论文评审过程：Received 5 January 2021, Revised 8 August 2021, Accepted 12 January 2022, Available online 15 January 2022, Version of Record 2 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116547