Article
Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.
Clinical and experimental rheumatology - 1 Jan 2000
Baldini Chiara, Ferro Francesco, Luciano Nicoletta, Bombardieri Stefano, Grossi Enzo
Abstract excerpt
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of disease phenotypes to foster the research of novel specific biomarkers and new therapeutic targets. The main objectives of this work are: 1) to compare Auto Contractive...
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