Output details

Clustering the clusters - knowledge enhancing tool for diagnosing elderly falling risk

<28> Falls affecting the musculoskeletal system are the leading cause of injury in people over 65 years. To address the growing problem of falls in an ageing society and to support and improve the required healthcare, this study proposes a new approach to assess fall risks for the elderly. K-means clustering is first applied, and then the clusters are mapped into two-dimensional space using self-organising maps. The resulting 95.45% accuracy suggests that the two-stage clustering technique is effective in managing fall risks, and can be included in decision support systems for physiotherapists, to help them customise the rehabilitation programme.