A comparison of machine learning methods for survival analysis of high-dimensional clinical data for...
A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Data collected from clinical trials and cohort studies, such as dementia studies, are often high-dimensional, censored, heterogeneous and contain missing information, presenting challenges to traditional statistical analysis. There is an urgent need for methods that can overcome these challenges to model this complex data. At present there is no cu...
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A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_241adb643d7845fea517bcfa07bbbc26
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_241adb643d7845fea517bcfa07bbbc26
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-77220-w
