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An Automated Screening System for Tuberculosis

dc.contributor.authorSantiago-Mozos, Ricardo
dc.contributor.authorPérez-Cruz, Fernando
dc.contributor.authorMadden, Michael G.
dc.contributor.authorArtés-Rodríguez, Antonio
dc.identifier.citationSantiago-Mozos, R.; Perez-Cruz, F.; Madden, M.G.; Artes-Rodriguez, A. "An Automated Screening System for Tuberculosis". IEEE Journal of Biomedical and Health Informatics, 2013es
dc.description.abstractEmail Print Request Permissions Save to Project Automated screening systems are commonly used to detect some agent in a sample and take a global decision about the subject (e.g. ill/healthy) based on these detections. We propose a Bayesian methodology for taking decisions in (sequential) screening systems that considers the false alarm rate of the detector. Our approach assesses the quality of its decisions and provides lower bounds on the achievable performance of the screening system from the training data. In addition, we develop a complete screening system for sputum smears in tuberculosis diagnosis, and show, using a real-world database, the advantages of the proposed framework when compared to the commonly used count detections and threshold
dc.description.sponsorshipThis work was supported in part by the Ministerio de Economía of Spain (under Projects DEIPRO, id. TEC2009-14504-C02-01, and COMON-SENS, id. CSD2008-00010, ALCIT, id. TEC2012-38800-C03-01, COM-PREHENSION, id. TEC2012-38883-C02-01), the Ministerio de Industria of Spain (project CDTEAM of CENIT-Ingenio 2010), the EU Marie Curie Transfer of Knowledge Fellowship (CT-2005-029611), the Marie Curie ITN FP7-PEOPLE-2012-ITN-316861 (Machine Learning for Personalized Medicine 2012), and Universidad Carlos III (CCG10-UC3M/TIC-5304). The work of R. Santiago-Mozos was supported in part by Ministerio de Educación of Spain (EX2009-0681) and Juan de la Cierva Program of the Ministerio de Ciencia e Innovación of Spain (JCI-2011-11150)es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.subjectAutomated screeninges
dc.subjectDecision makinges
dc.subjectSequential analysises
dc.titleAn Automated Screening System for Tuberculosises
dc.subject.unesco1203.17 Informáticaes
dc.subject.unesco32 Ciencias Médicases
dc.description.departamentoTeoría de la Señal y Comunicaciones

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