[Forum SIS] Seminario Prof.ssa Guglielmi 21.03.14

[Dip. Scienze Statistiche - Mi]

Il Dipartimento di Scienze Statistiche dell'Università Cattolica del Sacro Cuore ha organizzato un seminario, presentato dalla Prof.ssa Alessandra GUGLIELMI, del Politecnico di Milano, dal titolo:



Semiparametric Bayesian models for clustering and prediction of Acute Myocardial Infarction patients.

Venerdì 21 Marzo dalle ore 11,30

in Aula G 051



Università Cattolica del Sacro Cuore - Milano

Largo Gemelli,1 - Edificio Lanzone 18

Abstract:
In this talk, the interest is in modeling, under a Bayesian nonparametric perspective, mixed-type multiple responses of patients hospitalized with an ST-segment elevation myocardial infarction (STEMI) diagnosis and treated with angioplasty. The responses considered here are three variables, which strategically evaluate the efficiency of the hospitals and the effectiveness of the treatment: the time between admission to the hospital and angioplasty (continuous response), in-hospital survival and survival after 60 days from admission (binary).
We consider two Bayesian semiparametric models: for both cases, the key ingredient is a nonparametric prior on the partition of the patients. Hence, we can provide model-based clustering through the posterior. Moreover, though the survival rates are strongly unbalanced, the models are able to give sufficiently reliable predictions on the survival outcomes at the patient's level.
The study is within a project, named 'Strategic program of Regione Lombardia'; data include clinical and process indicators, outcomes and personal information on patients admitted to all hospitals of Regione Lombardia with STEMI diagnosis.

The seminar is based on joint work with Francesca Ieva, Anna Maria Paganoni, Elena Prandoni, Fernando Quintana, Valerio Valvo.




Segreteria Organizzativa:
Barbara Villa
Addetto Amministrativo Segreteria
Dipartimento di Scienze statistiche
Università Cattolica del Sacro Cuore
Largo Gemelli, 1
Edificio Via Lanzone, 18
20123 Milano
Tel. 02/72342647
Fax 02/72343064
http://dipartimenti.unicatt.it/scienze_statistiche


 Please don't print this e-mail unless you really need to

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20140318/33521f93/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: image/jpeg
Size: 2950 bytes
Desc: image001.jpg
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20140318/33521f93/attachment-0001.jpg>