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A Machine Learning Application to Predict Early Lung Involvement in Scleroderma: A Feasibility Evaluation

Introduction: Systemic sclerosis (SSc) is a systemic immune-mediated disease, featuring fibrosis of the skin and organs, and has the greatest mortality among rheumatic diseases. The nervous system involvement has recently been demonstrated, although actual lung involvement is considered the leading...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Giuseppe Murdaca, Simone Caprioli, Alessandro Tonacci, Lucia Billeci, Monica Greco, Simone Negrini, Giuseppe Cittadini, Patrizia Zentilin, Elvira Ventura Spagnolo, Sebastiano Gangemi
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2021-10-01
Schriftenreihe:Diagnostics
Schlagworte:
artificial intelligence
esophageal dilatation
HRCT chest
machine learning
systemic sclerosis
Online-Zugang:https://www.mdpi.com/2075-4418/11/10/1880
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