Multicohort study testing the generalisability of the SASKit-ML stroke and PDAC prognostic model pip...
Multicohort study testing the generalisability of the SASKit-ML stroke and PDAC prognostic model pipeline to other chronic diseases
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Publisher
England: British Medical Journal Publishing Group
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Language
English
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Publisher
England: British Medical Journal Publishing Group
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ObjectivesTo validate and test the generalisability of the SASKit-ML pipeline, a prepublished feature selection and machine learning pipeline for the prediction of health deterioration after a stroke or pancreatic adenocarcinoma event, by using it to identify biomarkers of health deterioration in chronic disease.DesignThis is a validation study usi...
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Full title
Multicohort study testing the generalisability of the SASKit-ML stroke and PDAC prognostic model pipeline to other chronic diseases
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TN_cdi_doaj_primary_oai_doaj_org_article_b6f9dcb638904b43accad7abe587e898
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b6f9dcb638904b43accad7abe587e898
Other Identifiers
ISSN
2044-6055
E-ISSN
2044-6055
DOI
10.1136/bmjopen-2024-088181
