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UNDERSTANDING HETEROGENEITY IN NORMAL OLDER ADULT POPULATIONS VIA CLUSTERING OF LONGITUDINAL DATA
Populations of healthy older individuals are often highly heterogeneous, as prevalence of various underlying pathologies increases with age. Finding coherent groups of normal older adults may allow to identify subpopulations that are at risk of developing Alzheimer’s disease (AD). In this paper, we...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3402712/ https://ncbi.nlm.nih.gov/pubmed/22837176 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2011.5872593 |
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