An integrated optimization and machine learning approach to predict the admission status of emergency patients

作者：

Highlights：

• An integrated optimization-machine learning framework is developed.

• Tabu search is used to optimize machine learning.

• Admission disposition decision of emergency patients is predicted.

• A decision tool is proposed to mitigate emergency crowding.

摘要

•An integrated optimization-machine learning framework is developed.•Tabu search is used to optimize machine learning.•Admission disposition decision of emergency patients is predicted.•A decision tool is proposed to mitigate emergency crowding.

论文关键词：Admission disposition decision,Emergency department crowding,Machine learning,Metaheuristic optimization

论文评审过程：Received 6 December 2021, Revised 11 February 2022, Accepted 23 April 2022, Available online 29 April 2022, Version of Record 4 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117314