ETD

Digital archive of theses discussed at the University of Pisa

 

Thesis etd-10202023-132824


Thesis type
Tesi di specializzazione (4 anni)
Author
DI CIANNI, FEDERICA
URN
etd-10202023-132824
Thesis title
Disease profiles in a Behçet's disease monocentric cohort - a neural network analysis
Department
MEDICINA CLINICA E SPERIMENTALE
Course of study
REUMATOLOGIA
Supervisors
relatore Prof.ssa Mosca, Marta
relatore Dott.ssa Talarico, Rosaria
Keywords
  • Behçet's syndrome
  • vasculitis
  • clinical profiles
  • neural networks
Graduation session start date
06/11/2023
Availability
Withheld
Release date
06/11/2093
Summary
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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