Predicting mortality in acutely hospitalised older patients: the impact of model dimensionality
Predicting mortality in acutely hospitalised older patients: the impact of model dimensionality
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
The prediction of long-term mortality following acute illness can be unreliable for older patients, inhibiting the delivery of targeted clinical interventions. The difficulty plausibly arises from the complex, multifactorial nature of the underlying biology in this population, which flexible, multimodal models based on machine learning may overcome...
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Full title
Predicting mortality in acutely hospitalised older patients: the impact of model dimensionality
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TN_cdi_doaj_primary_oai_doaj_org_article_75e1cc870e5e47068b71cf49823b4b06
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75e1cc870e5e47068b71cf49823b4b06
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ISSN
1741-7015
E-ISSN
1741-7015
DOI
10.1186/s12916-022-02698-2
