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Lower Back Pain Expert System Diagnosis And Treatment

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dc.contributor.author Abu-Naser, Samy S.
dc.contributor.author ALDAHDOOH, RAMI
dc.date.accessioned 2019-05-31T17:26:25Z
dc.date.accessioned 4/28/2016
dc.date.accessioned 4/28/2016
dc.date.available 2019-05-31T17:26:25Z
dc.date.available 4/28/2016
dc.date.issued 2016
dc.identifier.citation Journal of Multidisciplinary Engineering Science Studies (JMESS),2(4), pp. 441-446 en_US
dc.identifier.uri http://dstore.alazhar.edu.ps/xmlui/handle/123456789/422
dc.description.abstract Lower Back Pain (LBP) is one of the common problems encountered in medical applications. LBP can be caused by quite a few problems in any parts of the complicated, interrelated set of connections of the spinal muscles, nerves, bones, discs or tendons in the lumbar spine. Classical sources of LBP take account of: the bulky nerve roots in the low back that go to the legs may be aggravated, the smaller nerves that supply the low back may be aggravated, the great paired lower back muscles can be stressed, the bones, ligaments or joints can be dented, and an intervertebral disc may be deteriorated. This paper proposes an expert system that can be used to successfully diagnose low back pain intensity. The suggested systems were found to be advantageous approach in addition to existing unbiased ones. So far as the authors are aware, this is the first attempt of using an expert system in achieving very good performance in a real world application. In light of some of the limitations of this study, we also identify and discuss several areas that need continued investigation. SL5 Object language was used designing the proposed expert system. en_US
dc.language.iso en_US en_US
dc.subject Lower Back Pain en_US
dc.subject Expert Systems en_US
dc.subject SL5 Object Expert System Language en_US
dc.subject Artificial Intelligence en_US
dc.title Lower Back Pain Expert System Diagnosis And Treatment en_US
dc.type Article en_US


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