Design and Implementation of Intelligent Decision Support System for THS in Large-Scale Events
Zhaohong Wang (),
Xuedong Chen () and
Yuzhuo Zhao ()
Additional contact information
Zhaohong Wang: Beijing Jiaotong University
Xuedong Chen: Beijing Jiaotong University
Yuzhuo Zhao: Chinese PLA General Hospital
A chapter in LISS 2021, 2022, pp 142-150 from Springer
Abstract:
Abstract In the emergency of large-scale events, traumatic hemorrhagic shock caused by trauma poses a challenge to emergency medical care. This paper designs and implements an application system for intelligent prediction and risk scoring of traumatic hemorrhagic shock, which can provide auxiliary decision support for the work of medical staff in emergency scenarios with high reliability and good interactive experience. At the application level, it fills the relevant blank.
Keywords: Large-scale events; Traumatic hemorrhagic shock; Application system; Auxiliary decision support (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-16-8656-6_13
Ordering information: This item can be ordered from
http://www.springer.com/9789811686566
DOI: 10.1007/978-981-16-8656-6_13
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().