A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardio...
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Transthyretin amyloid cardiomyopathy, an often unrecognized cause of heart failure, is now treatable with a transthyretin stabilizer. It is therefore important to identify at-risk patients who can undergo targeted testing for earlier diagnosis and treatment, prior to the development of irreversible heart failure. Here we show that a random forest m...
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Full title
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy
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TN_cdi_doaj_primary_oai_doaj_org_article_9df90401b120477884a567e3e9520657
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9df90401b120477884a567e3e9520657
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-021-22876-9
