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Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier

Description

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 someone other than the patient, or described in templated text that is difficult to process.

Submitted by elamb on