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Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more… http://umlsks.nlm.nih.gov, 2007(Version 5.0). 2. Chapman WW, et.al. A simple algorithm for identifying negated …