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    Smart Arthritis Diagnosis System

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    Undergraduate dissertation (749.4Kb)
    Date
    2019-05
    Author
    SSEBBAALE, PAUL
    WATASA, VICTOR CHRIS
    NAKIWAFU, ANDREW
    THON, JOHN MALUAL
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    Abstract
    Computer-based methods are increasingly used to improve the quality of medical services. Mostly the remote areas, the population are deprived of the facilities of having experts to diagnose diseases. Therefore there is need to store the expertise of specialists in computers through using ES technology. After that they can consult the specialist doctor if it is necessary or serious. The Smart Arthritis Diagnosis system will simplify the diagnosis and monitoring of arthritis disease for both patients and doctors. It will be able to recommend remedies to patients as well as bridging the communication gap between patients and doctors.
    URI
    http://hdl.handle.net/20.500.12281/7919
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    • School of Computing and Informatics Technology Collection

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