Constrained tensor factorization for computational phenotyping and mortality prediction in patients...
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Background: The increasing adoption of electronic health records (EHR) across the US has created troves of computable data, to which machine learning methods have been applied to extract useful insights. EHR data, represented as a three-dimensional analogue of a matrix (tensor), is decomposed into two-dimensional factors that can be interpreted as...
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Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer
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TN_cdi_proquest_journals_2614934134
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2614934134
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2331-8422
