Random Forest Regression for Predicting Healthcare Costs Using Administrative Databases from a Health Protection Agency in Northern Italy

INTRODUCTION Longer life expectancies and increasing prevalence of chronic diseases drive up demand for healthcare services and related costs. In Italy, 32% of people aged 65 and over, and 48% of those over 85, have major chronic conditions and multimorbidity [1]. In 2019, individuals aged 65 an...

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Bibliographic Details

Published in:	Epidemiology, Biostatistics and Public Health
Main Authors:	Isabella Sala, Sara Conti, Ippazio Cosimo Antonazzo, Davide Rozza, Lorenzo Losa, Pietro Ferrara, Carla Fornari, Giacomo Crotti, Roberta Ciampichini, Giuseppe Sampietro, Alberto Zucchi, Vincenzo Bagnardi, Lorenzo Giovanni Mantovani
Format:	Article
Language:	English
Published:	Milano University Press 2025-09-01
Online Access:	https://riviste.unimi.it/index.php/ebph/article/view/29504