首页> 外文会议>International Symposium on Ambient Intelligence >Predictive Analysis in Healthcare: Emergency Wait Time Prediction
【24h】

Predictive Analysis in Healthcare: Emergency Wait Time Prediction

机译:医疗保健预测分析:紧急等待时间预测

获取原文

摘要

Emergency departments are an important area of a hospital, being the major entry point to the healthcare system. One of the most important issues regarding patient experience are the emergency department waiting times. In order to help hospitals improving their patient experience, the authors will perform a study where the Random Forest algorithm will be applied to predict emergency department waiting times. Using data from a Portuguese hospital from 2013 to 2017, the authors discretized the emergency waiting time in 5 different categories: "Really Low", "Low", "Average", "High", "Really High". Plus, the authors considered as waiting time, the time from triage to observation. The authors expect to correctly evaluate the proposed classification algorithm efficiency and accuracy in order to be able to conclude if it is valuable when trying to predict ED waiting times.
机译:急诊部门是医院的重要地区,是医疗保健系统的主要入学点。有关患者经验的最重要问题之一是急诊部等待时间。为了帮助医院提高患者体验,作者将执行一项研究,其中随机森林算法将应用于预测急诊部等待时间。从2013年到2017年,使用来自葡萄牙医院的数据,提交人在5个不同类别中离散了紧急等待时间:“真的很低”,“低”,“平均”,“高”,“真的很高”。此外,作者认为是等待时间,从分隔观察的时间。作者希望能够正确评估所提出的分类算法效率和准确性,以便能够在尝试预测ed等待时间时是有价值的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号