Listar Artículos de revista - Aldizkari artikuluak por autor UPNA "Santafé Rodrigo, Guzmán"
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Association of intrinsic capacity with incidence and mortality of cardiovascular disease: prospective study in UK Biobank
Ramírez Vélez, Robinson; Iriarte-Fernández, María; Santafé Rodrigo, Guzmán
; Malanda Trigueros, Armando ; Beard, John R.; García Hermoso, Antonio; Izquierdo Redín, Mikel (Wiley, 2023)
Artículo / Artikulua 
Background: The World Health Organization proposed the concept of intrinsic capacity (IC; the composite of all the physical and mental capacities of the individual) as central for healthy ageing. However, little research ... -
Association of intrinsic capacity with respiratory disease mortality
Ramírez Vélez, Robinson; Iriarte-Fernández, María; Santafé Rodrigo, Guzmán ; Malanda Trigueros, Armando ; Beard, John R.; García Hermoso, Antonio; Izquierdo Redín, Mikel (Elsevier, 2023)
Artículo / Artikulua
The World Health Organization (WHO) introduced a framework for healthy aging in 2015 that emphasizes functional ability instead of absence of disease. Healthy ageing is defined as “the process of building and maintaining ... -
Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach
Adin Urtasun, Aritz ; Congdon, P.; Santafé Rodrigo, Guzmán ; Ugarte Martínez, María Dolores (Springer, 2022)
Artículo / Artikulua
The COVID-19 pandemic is having a huge impact worldwide and has highlighted the extent of health inequalities between countries but also in small areas within a country. Identifying areas with high mortality is important ... -
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
Echegoyen Arruti, Carlos; Pérez, Aritz; Santafé Rodrigo, Guzmán ; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
Artículo / Artikulua
Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ... -
scmamp: statistical comparison of multiple algorithms in multiple problems
Calvo, Borja; Santafé Rodrigo, Guzmán (The R Foundation, 2016)
Artículo / Artikulua
Comparing the results obtained by two or more algorithms in a set of problems is a central task in areas such as machine learning or optimization. Drawing conclusions from these comparisons may require the use of statistical ...
