Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/9585
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dc.contributor.authorBadi, Rasha Abd El Rahim Abd El Rahman
dc.contributor.authorSupervisor - Ala Eldin Awouda
dc.date.accessioned2015-01-06T11:21:16Z
dc.date.available2015-01-06T11:21:16Z
dc.date.issued2014-02-11
dc.identifier.citationBadi,Rasha Abd El Rahim Abd El Rahman.Design an Expert System for the Diagnosis of Pulmonary Tuberculosis/Rasha Abd El Rahim Abd El Rahman Badi;Ala Eldin Awouda.-khartoum:Sudan University of Science and Technology,College of Engineering,2014.-91p:ill;28.-M.Cs.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/9585
dc.descriptionThesisen_US
dc.description.abstractPulmonary tuberculosis (PTB) is a common worldwide infection and a medical and social problem causing high mortality and morbidity, especially in developing countries. An expert system for diagnosis of this disease was designed based on expert’s knowledge for providing decision support platform to assist fresh graduator (inexperienced) physicians, and other healthcare practitioners to arrive the final diagnosis of TB more quickly and efficiently especially in rural areas. Information about pulmonary tuberculosis and its symptoms and treatment from doctor who are specializing in the diagnosis and treatment of tuberculosis were collected. The system was built using C sharp language and artificial intelligence based expert system in coordinated manner help in the diagnosis of tuberculosis disease and assistance in giving the necessary treatment In addition to giving advice to patients.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectDesign an Expert Systemen_US
dc.subjectDiagnosis of Pulmonaryen_US
dc.subjectTuberculosisen_US
dc.titleDesign an Expert System for the Diagnosis of Pulmonary Tuberculosisen_US
dc.title.alternativeتصميم نظام خبير لتشخيص مرض السل الرئويen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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