A locally optimised machine learning approach to early prognostication of long-term neurological out...
A locally optimised machine learning approach to early prognostication of long-term neurological outcomes after out-of-hospital cardiac arrest
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Publisher
London, England: SAGE Publications
Journal title
Language
English
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Publication information
Publisher
London, England: SAGE Publications
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Scope and Contents
Contents
Background
Out-of-hospital cardiac arrest (OHCA) represents a major burden for society and health care, with an average incidence in adults of 67 to 170 cases per 100,000 person-years in Europe and in-hospital survival rates of less than 10%. Patients and practitioners would benefit from a prognostication tool for long-term good neurological out...
Alternative Titles
Full title
A locally optimised machine learning approach to early prognostication of long-term neurological outcomes after out-of-hospital cardiac arrest
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TN_cdi_doaj_primary_oai_doaj_org_article_fcf54288441c4c32b7a75d5633c628a2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fcf54288441c4c32b7a75d5633c628a2
Other Identifiers
ISSN
2055-2076
E-ISSN
2055-2076
DOI
10.1177/20552076241234746
