Clustering health data time series with the generalized affinity coefficient

Diabetes mellitus (DM) is one of the non-communicable diseases. The behavior of Disability-Adjusted Life Years (DALYs) over time, in the context of DM, for each country was modeled by ARIMA models. Agglomerative hierarchical cluster analysis was employed using the associated distance of the generalized Affinity coefficient to measure the dissimilarity between ARIMA models . The hierarchy shows three country clusters based on DALY trends over the years.

Palavras-chave

Diabetes DALYs ARIMA models Affinity coefficient Distance

URI

http://hdl.handle.net/10400.22/32904

Citação

Nascimento, A. P., Vieira, M., Faria, B. M., Oliveira, A., Prudêncio, C., & Bacelar-Nicolau, H. (2025). Clustering health data time series with the generalized affinity coefficient. Book of Abstracts XXXII Meeting of the Portuguese Association for Classification and Data Analysis (CLAD), 71–72. https://clad.pt/2025/JOCLAD2025_book_of_Abstracts.pdf

Editora

Associação Portuguesa de Classificação e Análise de Dados

Coleções

ESS - BBB - Comunicações em eventos científicos
ESS - CQB - Comunicações em eventos científicos
ESS - TBIO/Rise Health - Comunicações em eventos científicos

Licença CC

Sem licença CC

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