EPTs-TL: A two-level approach for efficient event prediction in healthcare
作者：
Highlights：
• We have proposed a two-level approach, which is called EPTs-TL to efficiently predict events in healthcare.
• The EPTs-TL approach combines concepts of the proposed components to reach more accurate and reliable results in the prediction process in a healthcare system.
• The EPTs-TL approach can be used as a useful tool to handle the complex and uncertain behaviors of time series, analyze unusually variations of those, forewarn the possible critical situations in the society, and fuzzy predict event in healthcare.
摘要
•We have proposed a two-level approach, which is called EPTs-TL to efficiently predict events in healthcare.•The EPTs-TL approach combines concepts of the proposed components to reach more accurate and reliable results in the prediction process in a healthcare system.•The EPTs-TL approach can be used as a useful tool to handle the complex and uncertain behaviors of time series, analyze unusually variations of those, forewarn the possible critical situations in the society, and fuzzy predict event in healthcare.
论文关键词：Event prediction,EPTs-TL,Data-point weighting,Fuzzy logic concept,Metaheuristics,Healthcare database
论文评审过程：Received 20 October 2018, Revised 23 November 2020, Accepted 24 November 2020, Available online 30 November 2020, Version of Record 14 December 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101999
