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dc.contributor.authorW. Rueangsiraraken_US
dc.contributor.authorA. S. Atkinsen_US
dc.contributor.authorB. Sharpen_US
dc.contributor.authorN. Chakpitaken_US
dc.contributor.authorK. Meksamooten_US
dc.date.accessioned2018-09-04T04:19:23Z-
dc.date.available2018-09-04T04:19:23Z-
dc.date.issued2011-12-28en_US
dc.identifier.other2-s2.0-84255162051en_US
dc.identifier.other10.1109/SKIMA.2011.6089977en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84255162051&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/49854-
dc.description.abstractWith the aging population increasing at a faster r ate the muscular skeletal system disorder caused by falling is becoming a challenging problem to health providers. In Thailand there is lack of training of therapists to assist the elderly people following fall injuries. The need for innovative approaches to help with the care of elderly is required. This paper addresses this issue by describing a decision support system based on a case based reasoning paradigm to support the physiotherapists in their care for the elderly. © 2011 IEEE.en_US
dc.subjectComputer Scienceen_US
dc.titleApplication of CBR techniques in elderly falling risk for physiotherapist assessment and supporten_US
dc.typeConference Proceedingen_US
article.title.sourcetitleSKIMA 2011 - 5th International Conference on Software, Knowledge Information, Industrial Management and Applicationsen_US
article.stream.affiliationsStaffordshire Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsMae Fah Luang Universityen_US
Appears in Collections:CMUL: Journal Articles

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