Log in to save to my catalogue

Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural net...

Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural net...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2757160929

Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural network

About this item

Full title

Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural network

Publisher

United States: Elsevier Inc

Journal title

The American journal of emergency medicine, 2023-01, Vol.63, p.29-37

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

AbstractAimThis study aims to develop a cardiac arrest prediction model using deep learning (CAPD) algorithm and to validate the developed algorithm by evaluating the change in out-of-hospital cardiac arrest patient prognosis according to the increase in scene time interval (STI). MethodsWe conducted a retrospective cohort study using smart advance...

Alternative Titles

Full title

Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2757160929

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2757160929

Other Identifiers

ISSN

0735-6757

E-ISSN

1532-8171

DOI

10.1016/j.ajem.2022.10.011

How to access this item