Giada Giannone
Machine Learning Driven Diagnostic and Prognostic Tools Targeting Rheumatology.
Rel. Marco Agostino Deriu, Michela Sperti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2022
Abstract
Rheumatic diseases are autoimmune and inflammatory disorders with multifactorial nature characterized by a wide variety of symptoms such as joint pain, joint deformity, impaired physical function and comorbidities, including an increased risk of cardiovascular pathologies. The presence of chronic pain is also responsible for a significant decrease in quality of life for patients. Rheumatic diseases can have gestation periods that precede clinically relevant onset by many years, and disease development includes genetic and environmental factors as well as systemic autoimmunity. Instead, early diagnosis and immediate treatment of rheumatic diseases have been identified as key elements for a possible remission of the disease.
Therefore, it is important to develop efficient tools for the early identification of the disease and the assessment of its evolution on the basis of the patient's clinical features
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Informazioni aggiuntive
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
