Identifying mortality factors from Machine Learning using Shapley values – a case of COVID19

作者：

Highlights：

• Use Machine Learning models to predict the mortality of COVID19 patients.

• Analyse patient case studies which may help in better personalised treatment.

• Apply Shapley Values to interpret the Machine Learning models predictions.

• Perform what-if analysis to see how patient mortality outcomes change.

摘要

•Use Machine Learning models to predict the mortality of COVID19 patients.•Analyse patient case studies which may help in better personalised treatment.•Apply Shapley Values to interpret the Machine Learning models predictions.•Perform what-if analysis to see how patient mortality outcomes change.

论文关键词：Machine Learning,Shapley values,Coronavirus,COVID19

论文评审过程：Received 16 June 2020, Revised 1 March 2021, Accepted 1 March 2021, Available online 11 March 2021, Version of Record 5 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114832