Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Dec...
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation
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Publisher
Canada: JMIR Publications
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Language
English
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Publisher
Canada: JMIR Publications
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Contents
There is a growing demand globally for emergency department (ED) services. An increase in ED visits has resulted in overcrowding and longer waiting times. The triage process plays a crucial role in assessing and stratifying patients' risks and ensuring that the critically ill promptly receive appropriate priority and emergency treatment. A substant...
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Full title
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation
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TN_cdi_doaj_primary_oai_doaj_org_article_d3e689770fc24a898392679675e046c0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d3e689770fc24a898392679675e046c0
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ISSN
1929-0748
E-ISSN
1929-0748
DOI
10.2196/34201
