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.

Analysis of hospitalizations of patients affected by chronic heart disease

A Guglielmi;R Argiento
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.
2014
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
978-3-319-02083-9
Heart disease
hospitalizations
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/257797
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