Relationships between geo-spatial features and COVID-19 hospitalisations revealed by machine learning models and SHAP values-Reference-Cited by-同舟云学术

Relationships between geo-spatial features and COVID-19 hospitalisations revealed by machine learning models and SHAP values

Published:2024-05-27 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Chu Lixia¹²,Nelen Jeroen¹,Crivellari Alessandro³,Masiliūnas Dainius⁴,Hein Carola⁵,Lofi Christoph¹

Affiliation:

1. Computer Science, Delft University of Technology (TU Delft), Delft, the Netherlands

2. Environmental Technology, Wageningen University & Research, Wageningen, the Netherlands

3. Department of Geography, National Taiwan University, Taipei, Taiwan

4. Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Wageningen, the Netherlands

5. Architecture, Delft University of Technology (TU Delft), Delft, the Netherlands

Funder

Volkswagen Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2358851

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