Lifestyle, environmental conditions and mortality in European countries and in Italian regions
DOI:
https://doi.org/10.71014/sieds.v79i3.335Abstract
This paper uses state-of-the-art machine learning techniques to study the relationship between environmental pollution, life expectancy and lifestyle variables in European countries, with a focus on the Italian regions.
K-means clustering allowed to analyse the impact of the pandemic on socio-economic variables between 2019 and 2021, showing how countries position themselves with respect to these changes.
Different regional typologies were outlined, reflecting the diversity of environmental and health challenges.
Furthermore, a random forest analysis was used to predict life expectancy in European countries and Italian regions based on the presence of the most polluting and health-damaging substances.
This methodological approach offers new ways of identifying priorities for intervention, combining environmental mitigation with targeted prevention and treatment strategies.
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