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 network
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United States: Elsevier Inc
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English
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United States: Elsevier Inc
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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...
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Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural network
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TN_cdi_proquest_miscellaneous_2757160929
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2757160929
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ISSN
0735-6757
E-ISSN
1532-8171
DOI
10.1016/j.ajem.2022.10.011