Spatial analysis and data mining techniques for identifying risk factors of Out-of-Hospital Cardiac Arrest
作者：
Highlights：
• Out-of-Hospital Cardiac Arrest (OHCA) is a critical issue of emergency medical service (EMS).
• Ubiquitous computing technologies could significantly improve the survival rate of OHCA patients.
• Public health institutions should manage first-aid resources more efficiently and make EMS policies more effectively.
• New Taipei City, Taiwan was chosen as the scope of this study. Spatial Analysis and Data Mining Techniques were used.
• Spatial clustering of OHCA events was found. Risk factors to 2-hour survival rate after OHCA were identified.
摘要
•Out-of-Hospital Cardiac Arrest (OHCA) is a critical issue of emergency medical service (EMS).•Ubiquitous computing technologies could significantly improve the survival rate of OHCA patients.•Public health institutions should manage first-aid resources more efficiently and make EMS policies more effectively.•New Taipei City, Taiwan was chosen as the scope of this study. Spatial Analysis and Data Mining Techniques were used.•Spatial clustering of OHCA events was found. Risk factors to 2-hour survival rate after OHCA were identified.
论文关键词：Out-of-Hospital Cardiac Arrest (OHCA),Emergency medical service (EMS),Factor analysis,Spatial analysis,Data mining
论文评审过程：Received 31 January 2016, Revised 3 April 2016, Accepted 5 April 2016, Available online 24 May 2016, Version of Record 10 December 2016.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2016.04.008
