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

fYear

2011

fDate

8-11 Sept. 2011

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SKIMA.2011.6089977

Filename

6089977