Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence
Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed-immobility, sensory impairment, bed positioning, and length of hospital stay. In this study, we use electronic health records and administrative data to examine the contributing fa...
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Full title
Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence
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TN_cdi_doaj_primary_oai_doaj_org_article_725a6b1fb47f442298472135bd858e9d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_725a6b1fb47f442298472135bd858e9d
Other Identifiers
ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-021-01608-5
