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- Title
Childhood asthma and land‐use characteristics in school and residential neighborhoods: A decision tree learning approach.
- Authors
Paciência, Inês; Cavaleiro Rufo, João; Ribeiro, Ana Isabel; Severo, Milton; Moreira, André; Genuneit, Jon
- Abstract
Regression tree models were used to identity the land-use characteristics in school and residential neighborhoods associated with the prevalence of asthma among children. The mean imputation method was used for residences without information on land-use characteristics, and the missing values are replaced with the mean of the same land-use type for each child's school. Keywords: asthma; children; environment; regression tree models; respiratory disease predictors EN asthma children environment regression tree models respiratory disease predictors 1 4 4 01/05/22 20220101 NES 220101 ACKNOWLEDGEMENTS Authors gratefully acknowledge the Project EXALAR 21 funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme, and by national funding from the Foundation for Science and Technology (FCT) under the scope of the project PTDC/GES-AMB/30193/2017 (POCI-01-0145-FEDER-030193, 02/SAICT/2017 - Project nº 30193). Childhood asthma and land-use characteristics in school and residential neighborhoods: A decision tree learning approach.
- Subjects
ASTHMATICS; NEIGHBORHOODS; ASTHMA in children; COMMUNITY schools; DECISION trees
- Publication
Pediatric Allergy & Immunology, 2022, Vol 33, Issue 1, p1
- ISSN
0905-6157
- Publication type
Article
- DOI
10.1111/pai.13662