dc.contributor.advisor | Welihinda, Sudharshana | |
dc.contributor.author | Perera, Dhanushi Ishani | |
dc.date.accessioned | 2019-02-19T14:05:44Z | |
dc.date.available | 2019-02-19T14:05:44Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Perera, D. I. (2018) Predict Lower Back Pain Abnormalities. BSc. Dissertation. Informatics Institute of Technology | en_US |
dc.identifier.other | 2014042 | |
dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/122 | |
dc.description.abstract | The misdiagnosis of lower back pain is a very common problem for both doctors and patients. Most of the times easily curable lower back pains develop into chronic lower back pains because of the misdiagnosis. A majority of research projects for identifying abnormalities of the spinal cord based on image processing or machine learning. The lack of research projects specialized on identifying the spinal cord abnormalities using data mining technique strengthens the need for a new investigation. | en_US |
dc.subject | Back Pain | en_US |
dc.subject | Data minning | en_US |
dc.title | Predict Lower Back Pain Abnormalities | en_US |
dc.type | Thesis | en_US |