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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Detalles Bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	Milano University Press 2025-09-01
Series:	Epidemiology, Biostatistics and Public Health
Acceso en liña:	https://riviste.unimi.it/index.php/ebph/article/view/29504
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