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Soft clustering using real-world data for the identification of multimorbidity patterns in an elderly population: cross-sectional study in a Mediterranean population
OBJECTIVES: The aim of this study was to identify, with soft clustering methods, multimorbidity patterns in the electronic health records of a population ≥65 years, and to analyse such patterns in accordance with the different prevalence cut-off points applied. Fuzzy cluster analysis allows individu...
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| Yayımlandı: | BMJ Open |
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| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMJ Publishing Group
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6719769/ https://ncbi.nlm.nih.gov/pubmed/31471439 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2019-029594 |
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