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  5. Random Forest and Feature Importance Measures for Discriminating the Most Influential Environmental Factors in Predicting Cardiovascular and Respiratory Diseases

Random Forest and Feature Importance Measures for Discriminating the Most Influential Environmental Factors in Predicting Cardiovascular and Respiratory Diseases

Author(s)
Cappelli, Francesco  
Castronuovo, Gianfranco
Grimaldi, Salvatore  
Telesca, Vito
Date Issued
2024
Type
article
Volume
21
Issue
7
Start Page
867
DOI
10.3390/ijerph21070867
Journal
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH  
Abstract
Several studies suggest that environmental and climatic factors are linked to the risk of mortality due to cardiovascular and respiratory diseases; however, it is still unclear which are the most influential ones. This study sheds light on the potentiality of a data-driven statistical approach by providing a case study analysis.
Subjects

Feature Importance Me...

Handle
http://hdl.handle.net/2067/54666
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