机器学习在急诊医疗服务体系中的应用现状与展望

李萍; 聂虎

doi:10.13201/j.issn.1009-5918.2020.06.018

机器学习在急诊医疗服务体系中的应用现状与展望

李萍,
聂虎^,

- 四川大学华西医院急诊科(成都, 610041)
基金项目:
四川大学华西医院新型冠状病毒科技攻关项目(No:HX2019nCoV026)

详细信息

通讯作者: 聂虎,E-mail:456nh@163.com

中图分类号: R459.7

收稿日期: 2020-04-16

Application and outlook of machine learning in emergency medical service system

More Information

Corresponding author: , E-mail: 456nh@163.com

Received Date: 16 April 2020

摘要

- 机器学习 /
- 急诊医疗服务体系 /
- 院前急救 /
- 院内急诊 /
- 危重症监护
Abstract: Machine learning(ML), as a method of realizing artificial intelligence, has been applied in many fields of Medicine as a result of its powerful data processing capability, which increases the ability to process the huge medical data and the work efficiency of the medical staff. Overload running in emergency department, a common problem in many hospitals, as well as the severity and rapid change of the patients' condition necessitate the assist of ML to improve the imbalance between the number of the medical staff and the patients, to enhance the capacity of doctor to detect and manage critically ill patients. In this article, we will review the application of ML in different scenarios such as pre-hospital and in-hospital emergency care and critical care in the emergency medical service system.
- machine learning /
- emergency medical service system /
- pre-hospital care /
- in-hospital emergency /
- critical care

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