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Centre for Policy on Ageing | |
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A hierarchical classification of dependency amongst older people
— use of artificial neural networks | | Author(s) | Peter Bath, Ian Philp |
| Journal title | Health Care in Later Life, vol 3, no 1, 1998 |
| Pages | pp 60-69 |
| Keywords | Mobility ; Self care capacity ; Independence ; Evaluation ; Information technology ; Statistics ; Southampton ; Northern Ireland. |
| Annotation | This article describes the use of artificial intelligence technology, artificial neural networks (ANNs), in analysing multivariate data relating to the functional well-being of older people. ANNs are a set of data mining techniques that have been developed to extract information from complex databases and datasets that cannot be readily detected by conventional statistical analysis. This article describes one such technique, the Kohonen Self-Organizing Map (KSOM), and how it has been used to analyse EASY (Elderly Assessment System) data collected in Belfast and Southampton. EASY is a multidimensional health outcome assessment system, which has been developed to assess the health and functioning of older people as part of routine care in community settings. A database has been established at the University of Sheffield (in collaboration with the World Health Organization (WHO) Regional Office for Europe) to analyse and compare EASY data collected from different centres throughout Europe. This article reports the use of the KSOM technique in the secondary analysis of EASY data relating to the instrumental activities of daily living (IADLs) of older people in the community in Belfast and Southampton. |
| Accession Number | CPA-980225422 A |
| Classmark | C4: CA: C3: 4C: UVB: 3Y: 8HH: 9Y |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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