Data Fusion of a Health Survey
The aim of this project is to obtain prediction models for the main health risk factors and for Cardiovascular Disease and Diabetes for the whole population, and provide an estimate for the entire Health Survey dataset. Data fusion methodology was applied to enrich the 2006 Health Survey of Catalonia, from a small examination-based sample providing objective measurements of the main health risk factors.
In collaboration with IDESCAT (Statistical Institute of Catalonias) for the Catalan Health Institute of the Government of Catalonia.
To obtain prediction models for the main risk factors (Blood pressure, Glycemia, Cholesterol, BMI) as well as Cardiovascular Disease and Diabetes, and more accurate estimates of these diseases in the Catalan population.
Data integration of two independent datasets.
- Josep Daunis i Estadella
Tomàs Aluja, Josep Daunis and Yan Hong Chen. Enriching a Large Scale Survey from a Representative Sample by Data Fusion: Models and Validation Survey Data Collection and Integration. Davino, Cristina; Fabbris, Luigi (Eds.). ISBN 978-3-642-21307-6. Springer 2012.
inLab FIB | +34 93 401 69 41 | c/ Jordi Girona, 1-3. B6 building. 08034 Barcelona | inlab
fib.upc.edu | Intranet | About this site