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We demonstrate a novel method of using unstructured health data for infectious disease surveillance. A model incorporating the dynamics of documentation of a test diagnosis (UTI) in free text, without using grammatical or syntactic analysis, achieved performance comparable to ICD-10 codes (sensitivity 57.3, positive predictive value 69.5%, negative predictive value 95.9%) and detected missed cases (15% of total). Elucidating the recognition mechanisms of the noncovalent interactions between pharmaceutical molecules and proteins is impor
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