Application of artificial neural network analysis in the evaluation of cardiovascular risk in primary Sjögren's syndrome: a novel pathogenetic scenario?

The aim of the present study was to verify whether artificial neural networks (ANNs) might help to elucidate the mechanisms underlying the increased prevalence of cardiovascular events (CV) in primary Sjögren's syndrome (pSS).



Titolo: Application of artificial neural network analysis in the evaluation of cardiovascular risk in primary Sjögren's syndrome: a novel pathogenetic scenario?
Autori: 
BARTOLONI BOCCI, Elena
ALUNNO, ALESSIA
CAFARO, Giacomo
GERLI, Roberto
mostra contributor esterni 
Data di pubblicazione: 2019
Rivista: 
CLINICAL AND EXPERIMENTAL RHEUMATOLOGY  
Abstract: The aim of the present study was to verify whether artificial neural networks (ANNs) might help to elucidate the mechanisms underlying the increased prevalence of cardiovascular events (CV) in primary Sjögren's syndrome (pSS).
Handle: http://hdl.handle.net/11391/1459633
Appare nelle tipologie:1.1 Articolo in rivista

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http://hdl.handle.net/11391/1459633
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