Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods
作者：
Highlights：
• Develop a new framework that can handle the prioritisation of COVID-19 patients and can detect the health conditions of asymptomatic carriers.
• The most important laboratory criteria were selected and implemented based on two feature selection approaches.
• A new decision matrix was developed for patient prioritisation using integration Entropy-TOPSIS methods.
• Several Advantages of the new framework in detecting/recognising the health condition of patients are presented.
摘要
•Develop a new framework that can handle the prioritisation of COVID-19 patients and can detect the health conditions of asymptomatic carriers.•The most important laboratory criteria were selected and implemented based on two feature selection approaches.•A new decision matrix was developed for patient prioritisation using integration Entropy-TOPSIS methods.•Several Advantages of the new framework in detecting/recognising the health condition of patients are presented.
论文关键词：COVID-19,Laboratory characteristics,Respiratory,Prioritisation,Multi-criteria decision making,TOPSIS,Entropy
论文评审过程：Received 27 June 2020, Revised 2 October 2020, Accepted 3 November 2020, Available online 7 November 2020, Version of Record 18 November 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101983
