Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadl...
Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes
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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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Contents
Syndromes are defined with signs or symptoms that occur together and represent conditions. We use a data-driven approach to identify the deadliest and most death-averse frailty syndromes based on frailty symptoms. A list of 72 frailty symptoms was retrieved based on three frailty indices. We used data from the Health and Retirement Study (HRS), a l...
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Full title
Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7142157
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7142157
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-60869-8
