Artificial neural networks and risk stratification in emergency departments
Artificial neural networks and risk stratification in emergency departments
About this item
Full title
Author / Creator
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
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Scope and Contents
Contents
Emergency departments are characterized by the need for quick diagnosis under pressure. To select the most appropriate treatment, a series of rules to support decision-making has been offered by scientific societies. The effectiveness of these rules affects the appropriateness of treatment and the hospitalization of patients. Analyzing a sample of...
Alternative Titles
Full title
Artificial neural networks and risk stratification in emergency departments
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Record Identifier
TN_cdi_proquest_miscellaneous_2125311378
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2125311378
Other Identifiers
ISSN
1828-0447
E-ISSN
1970-9366
DOI
10.1007/s11739-018-1971-2
