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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Bibliographische Detailangaben

Hauptverfasser:	Aria, Massimo, Cuccurullo, Corrado, Gnasso, Agostino
Format:	Online
Sprache:	Englisch
Veröffentlicht:	Firenze University Press 2022
Schlagworte:	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
Online-Zugang:	ONIX_20220915_9788855184618_30
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