A dynamic case-based reasoning system for responding to infectious disease outbreaks

作者：

Highlights：

• Structurally describes the problem scenario of public health emergencies.

• Adopts a Markov model to analyze the scenario evolution.

• Builds a dynamic case-based reasoning model.

• Estimates the similarity between the target and historical scenarios.

• Provides an optimized dynamic emergency decision guide.

摘要

•Structurally describes the problem scenario of public health emergencies.•Adopts a Markov model to analyze the scenario evolution.•Builds a dynamic case-based reasoning model.•Estimates the similarity between the target and historical scenarios.•Provides an optimized dynamic emergency decision guide.

论文关键词：Markov model,Case-based reasoning,Emergency response,Infectious disease,Covid-19,SARS

论文评审过程：Received 11 April 2021, Revised 17 May 2022, Accepted 17 May 2022, Available online 21 May 2022, Version of Record 26 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117628