About: Risk-Based AED Placement

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Risk-Based AED Placement - Singapore Case
Creator	Ong, Marcus Cai, Wentong Derevitskii, Ivan Kogtikov, Nikita Lees, Michael
Source	PMC
abstract	This paper presents a novel risk-based method for Automated External Defibrillator (AED) placement. In sudden cardiac events, availability of a nearby AED is crucial for the surviving of cardiac arrest patients. The common method uses historical Out-of-Hospital Cardiac Arrest (OHCA) data for AED placement optimization. But historical data often do not cover the entire area of investigation. The goal of this work is to develop an approach to improve the method based on historical data for AED placement. To this end, we have developed a risk-based method which generates artificial OHCAs based on a risk model. We compare our risk-based method with the one based on historical data using real Singapore OHCA occurrences from Pan-Asian Resuscitation Outcome Study (PAROS). Results show that to deploy a large number of AEDs the risk-based method outperforms the method purely using historical data on the testing dataset. This paper describes our risk-based AED placement method, discusses experimental results, and outlines future work.
has issue date	2020-05-23(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50423-6_43
has license	no-cc
sha1sum (hex)	49827c7799b4ae8e9c6bb3adef6b02ec8b94d92e
schema:url	https://doi.org/10.1007/978-3-030-50423-6_43
resource representing a document's title	Risk-Based AED Placement - Singapore Case
has PubMed Central identifier	PMC7303701
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:49827c7799b4ae8e9c6bb3adef6b02ec8b94d92e#body_text
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