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Mining Tuberculosis Data
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Author(s): Marisa A. Sánchez (Universidad Nacional del Sur, Argentina), Sonia Uremovich (Universidad Nacional del Sur, Argentina)and Pablo Acrogliano (Hospital Interzonal Dr. José Penna, Argentina)
Copyright: 2009
Pages: 18
Source title:
Data Mining and Medical Knowledge Management: Cases and Applications
Source Author(s)/Editor(s): Petr Berka (University of Economics, Prague, Czech Republic), Jan Rauch (University of Economics, Prague, Czech Republic)and Djamel Abdelkader Zighed (University of Lumiere Lyon 2, France)
DOI: 10.4018/978-1-60566-218-3.ch016
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Abstract
This chapter reviews the current policies of tuberculosis control programs for the diagnosis of tuberculosis. The international standard for tuberculosis control is the World Health Organization’s DOT (Direct Observation of Therapy) strategy that aims to reduce the transmission of the infection through prompt diagnosis and effective treatment of symptomatic tuberculosis patients who present at health care facilities. Physicians are concerned about the poor specificity of diagnostic methods and the increase in the notification of relapse cases. This works describes a data-mining project that uses DOT´s data to analyze the relationship among different variables and the tuberculosis diagnostic category registered for each patient.
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