| 書目名稱 | Intelligent Medical Decision Support System Based on Imperfect Information |
| 副標題 | The Case of Ovarian |
| 編輯 | Krzysztof Dyczkowski |
| 視頻video | http://file.papertrans.cn/470/469823/469823.mp4 |
| 概述 | Describes and outlines the theoretical foundations of the OvaExpert system created by the author and his team.Demonstrates how the system helps physicians diagnose ovarian tumors using computational i |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | 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.. . |
| 出版日期 | Book 2018 |
| 關鍵詞 | Computational Intelligence; Intelligent Medical Decision Support System; Ovarian Tumor Diagnosis; Inter |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-67005-8 |
| isbn_softcover | 978-3-319-88363-2 |
| isbn_ebook | 978-3-319-67005-8Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing AG 2018 |
|Archiver|手機版|小黑屋|
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