Preliminary results obtained by ITAMACDSS, a Fuzzy-based Clinical Diagnostic Support System (CDSS) for Coeliac Disease (CD), part of the ITAMA project, are presented and discussed. CD is a chronic disease of the small intestine triggered by repeated gluten consumption, for which confirmed diagno- sis depends on biopsy. As biopsy is an invasive and costly procedure, especially in children, alternative ways of diagnosis are sought. ITAMACDSS can be used to help assess risk and confidence factors during a diagnostic pathway, reducing costs and improving prioritization of patients. On a preliminary test on ~20K subjects, ITAMACDSS delivered positive and negative classification with 99% accuracy, 86% sensitivity, 99% specificity and 96% precision.
Tabacchi, M.E. (2024). ITAMACDSS: A Fuzzy Clinical Diagnostic Support System for Coeliac Disease. In M.E. Cornejo, L.T. Kóczy, J. Medina, E. Ramírez-Poussa (a cura di), Computational Intelligence and Mathematics for Tackling Complex Problems 5 (pp. 87-92). Springer Nature Switzerland [10.1007/978-3-031-46979-4_12].
ITAMACDSS: A Fuzzy Clinical Diagnostic Support System for Coeliac Disease
Tabacchi, Marco ElioPrimo
2024-01-03
Abstract
Preliminary results obtained by ITAMACDSS, a Fuzzy-based Clinical Diagnostic Support System (CDSS) for Coeliac Disease (CD), part of the ITAMA project, are presented and discussed. CD is a chronic disease of the small intestine triggered by repeated gluten consumption, for which confirmed diagno- sis depends on biopsy. As biopsy is an invasive and costly procedure, especially in children, alternative ways of diagnosis are sought. ITAMACDSS can be used to help assess risk and confidence factors during a diagnostic pathway, reducing costs and improving prioritization of patients. On a preliminary test on ~20K subjects, ITAMACDSS delivered positive and negative classification with 99% accuracy, 86% sensitivity, 99% specificity and 96% precision.
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