Spatio-temporal modelling of asthma-prone areas using a machine learning optimized with metaheuristic algorithms
Author:
Affiliation:
1. Geoinformation Technology Center of Excellence, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran
2. Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2028903
Reference101 articles.
1. Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA
2. The prevalence of asthma and severe asthma in children influenced by transportation factors: Evidence from spatial analysis in Seoul, Korea
3. Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
4. Combined measurements of fractional exhaled nitric oxide and nasal nitric oxide levels for assessing upper airway diseases in asthmatic patients
5. An investigation of the environmental determinants of asthma hospitalizations: An applied spatial approach
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