Machine-learning-aided prediction of cancer attributed mortality using natural radiation, major air pollutants, and temperature as influencing variables.
Aim: Air pollution, radiation, and temperature have been linked with cancer mortality, but studies that used integrated machine learning and geographic information systems to predict it are limited. The aim of this study is to explore machine-learning models and geographic information systems to pre...
| Publicado en: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 34; no. 4; pp. 865 - 888 |
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| Formato: | Artículo |
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Springer Nature
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |