Intelligent Medical Decision Support System Based on Imperfect Information

The Case of Ovarian Tumor Diagnosis

Krzysztof Dyczkowski (Autor)

Buch | Softcover

XXI, 123 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-88363-2 (ISBN)

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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.

Introduction.- Medical foundations.- Elements of fuzzy set theory.- Cardinalities of interval-valued fuzzy sets and their applications in decision making with imperfect information.- OvaExpert System.- Summary.

Erscheint lt. Verlag	25.8.2018
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XXI, 123 p. 55 illus., 51 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	237 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik ► Medizintechnik
Schlagworte	Computational Intelligence • Intelligent Medical Decision Support System • Interval-Valued Fuzzy Sets • Medical Diagnosis • OvaExper • Ovarian Tumor Diagnosis
ISBN-10	3-319-88363-1 / 3319883631
ISBN-13	978-3-319-88363-2 / 9783319883632
Zustand	Neuware