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http://hdl.handle.net/10609/127727
Title: | Análisis y visualización de los factores determinantes del estado de salud en la Unión Europea |
Author: | Rivero Falcón, Eduardo |
Director: | Rius, Àngels |
Tutor: | Pérez Álvarez, Susana |
Abstract: | The World Health Organization (WHO) defines health as a state of perfect (complete) physical, mental and social well-being, and not just the absence of disease. Achieving this state is a natural goal of any individual, public administrations and governments. Establishing the health determinants and its impact helps to achieve this goal. The European Union has carried out the European Health Interview Survey (EHIS), whose second wave was collected between 2013 and 2015 and updated in April 2019, and the European Union Statistics on Income and Living Conditions (EU-SILC, 2013). Among other data these surveys gathered the health status of the population, consumption of food and products harmful to health (alcohol, tobacco) and social support in the whole European Union. The aims of this Master's degree final project are, based on this data, to analyse the level of influence of the health determinants using Logistic Regression techniques, as well as to detect any patterns between countries using Principal Component Analysis and Clustering techniques. It is also the aim of this Master's degrees final project to visualize the results obtained in such way it could allow us to compare them at European Union level and thus to have a better understanding of the conclusions of this project. To conclude, the influence of the determining factors detected was analysed, as well as the segmentation into groups of countries with similar characteristics in terms of the study variables. |
Keywords: | health determinants machine learning visualisation ehis silc |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2021 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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eriverofaTFM0121memoria.pdf | Memoria del TFM | 3,99 MB | Adobe PDF | View/Open |
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