"Research Paper: Automated Tuberculosis Detection."

According to the authors' abstract of an article published in Journal of the American Medical Informatics Association, "Objective: To measure the accuracy of automated tuberculosis case detection. Setting: An inner-city medical center. Intervention: An electronic medical record and a clinical event monitor with a natural language processor were used to detect tuberculosis cases according to Centers for Disease Control criteria. Measurement: Cases identified by the automated system were compared to the local health department's tuberculosis registry, and positive predictive value and sensitivity were calculated. Results: The best automated...

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