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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שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Proceedings e report
Main Authors: Aria, Massimo, Cuccurullo, Corrado, Gnasso, Agostino
פורמט: Livro
שפה:Inglês
יצא לאור: Firenze University Press 2021
נושאים:
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
גישה מקוונת:https://directory.doabooks.org/handle/20.500.12854/92331
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