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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:
https://iris.cnr.it/handle/20.500.14243/257797
Titolo del libro:
The contribution of young researchers to Bayesian statistics: Proceedings of BAYSM2013
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URL

http://link.springer.com/book/10.1007%2F978-3-319-02084-6
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