Smart Arthritis Diagnosis System
dc.contributor.author | SSEBBAALE, PAUL | |
dc.contributor.author | WATASA, VICTOR CHRIS | |
dc.contributor.author | NAKIWAFU, ANDREW | |
dc.contributor.author | THON, JOHN MALUAL | |
dc.date.accessioned | 2019-12-22T14:48:30Z | |
dc.date.available | 2019-12-22T14:48:30Z | |
dc.date.issued | 2019-05 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/7919 | |
dc.description | A project report submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of Science in Software Engineering of Makerere University. | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere University | en_US |
dc.subject | Diagnosis system | en_US |
dc.subject | Smart systems | en_US |
dc.subject | Arthritis systems | en_US |
dc.subject | Arthritis diagnosis | en_US |
dc.title | Smart Arthritis Diagnosis System | en_US |
dc.type | Thesis | en_US |