Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests

The growing success of Machine Learning (ML) is making significant improvements to predictive models, facilitating their integration in various application fields, especially the healthcare context. However, it still has limitations and drawbacks, such as the lack of interpretability which does not...

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Detalhes bibliográficos

Principais autores:	Aria, Massimo, Cuccurullo, Corrado, Gnasso, Agostino
Formato:	Online
Idioma:	inglês
Publicado em:	Firenze University Press 2022
Assuntos:	Random Forest Model Interpretation Health domain Rule Extraction thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
Acesso em linha:	ONIX_20220915_9788855184618_30
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