Analysis of hospitalizations of patients affected by chronic heart disease
Contributo in Atti di convegno
Data di Pubblicazione:
2014
Abstract:
In this paper we present a Bayesian model to analyze sequences of hospitalizations of patients affected by chronic heart disease, focusing not only on the sequence but also on the times between two next events; considering covariates and time, the model is able to identify the most relevant factors influencing the evolution. © Springer International Publishing Switzerland 2014.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Heart disease; hospitalizations
Elenco autori:
Guglielmi, Alessandra; Argiento, Raffaele
Link alla scheda completa:
Titolo del libro:
The contribution of young researchers to Bayesian statistics: Proceedings of BAYSM2013