Tesi etd-10202023-132824 |
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Tipo di tesi
Tesi di specializzazione (4 anni)
Autore
DI CIANNI, FEDERICA
URN
etd-10202023-132824
Titolo
Disease profiles in a Behçet's disease monocentric cohort - a neural network analysis
Dipartimento
MEDICINA CLINICA E SPERIMENTALE
Corso di studi
REUMATOLOGIA
Relatori
relatore Prof.ssa Mosca, Marta
relatore Dott.ssa Talarico, Rosaria
relatore Dott.ssa Talarico, Rosaria
Parole chiave
- Behçet's syndrome
- vasculitis
- clinical profiles
- neural networks
Data inizio appello
06/11/2023
Consultabilità
Non consultabile
Data di rilascio
06/11/2093
Riassunto
Behçet's syndrome (BS) is a multisystemic vasculitis characterized by a heterogeneous clinical spectrum with a peculiar geographical distribution. Clinical disease features may cluster together resulting in different disease course and outcome, and current literature provide various clinical profiles according to the different combinations of disease manifestations. Purpose of this work was to identify and describe the clinical profiles of the BS patients followed in our Clinic, adopting a neural network analysis.
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