Development of Clustering Algorithms for Older Faller in Malaysia

Falls are serious problem which lead to negative consequences on the quality of life especially for older people. Most falls are caused by the interaction of multiple risk factors. However, manual analysis in fall data are time consuming and high processing cost. Therefore, this study purpose to develop a clustering-based fall risk algorithm which can provide assistances for clinician. The propose...