Title :
Application of CBR techniques in elderly falling risk for physiotherapist assessment and support
Author :
Rueangsirarak, W. ; Atkins, A.S. ; Sharp, B. ; Chakpitak, Nopasit ; Meksamoot, K.
Author_Institution :
Fac. of Comput., Eng. & Technol., Staffordshire Univ., Stafford, UK
Abstract :
With the aging population increasing at a faster rate 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.
Keywords :
decision support systems; handicapped aids; health care; medical computing; CBR techniques application; aging population; decision support system; elderly falling risk; elderly people; health providers; muscular skeletal system; physiotherapist assessment; physiotherapist support; Cognition; Diseases; Informatics; Knowledge engineering; Presses; Senior citizens; Decision Support System; Elderly people; Falling risk; Knowledge Based System;
Conference_Titel :
Software, Knowledge Information, Industrial Management and Applications (SKIMA), 2011 5th International Conference on
Conference_Location :
Benevento
Print_ISBN :
978-1-4673-0247-0
DOI :
10.1109/SKIMA.2011.6089977
