Intelligent Medical Decision Support System Based on Imperfect Information - The Case of Ovarian Tumor Diagnosis (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 735
Release date:	October 2017
First published:	2018
Authors:	Krzysztof Dyczkowski
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	123
Edition:	1st ed. 2018
ISBN-13:	978-3-319-67004-1
Categories:	Books > Medicine > Clinical & internal medicine > Gynaecology & obstetrics > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
LSN:	3-319-67004-2
Barcode:	9783319670041

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!