Intelligent Medical Decision Support System Based on Imperfect Information The Case of Ovarian Tumor Diagnosis /

• Κύριος συγγραφέας: Dyczkowski, Krzysztof (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Computational Intelligence, 735
• Θέματα: Computational intelligence.; Artificial intelligence.; Biomedical engineering.; Oncology .; Computational Intelligence.; Artificial Intelligence.; Biomedical Engineering/Biotechnology.; Oncology.; Biomedical Engineering and Bioengineering.
• Φυσική περιγραφή: XXI, 123 p. 55 illus., 51 illus. in color. online resource.
• ISBN: 9783319670058
• ISSN: 1860-949X ;
• DOI: 10.1007/978-3-319-67005-8

This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis - since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe. It presents the theoretical foundations (both medical and mathematical) of the intelligent OvaExpert system, which supports decision-making in tumor diagnosis. OvaExpert was created primarily to help gynecologists predict the malignancy of ovarian tumors by applying the existing diagnostic models and using modern methods of computational intelligence that accommodate imprecise and imperfect medical data, both of which are common features of everyday medical practice. The book presents novel methods based on interval-valued fuzzy sets and the theory of their cardinalities.