TEPAPA: a novel in silico feature learning pipeline for mining prognostic and associative factors from text-based electronic medical records
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DOI: 10.1038/s41598-017-07111-0
Abstract: Vast amounts of clinically relevant text-based variables lie undiscovered and unexploited in electronic medical records (EMR). To exploit this untapped resource, and thus facilitate the discovery of informative covariates from unstructured clinical narratives, we have… read more here.
Keywords: status; pipeline; text based; tepapa novel ... See more keywords