東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Intelligent medical decision support...

Dyczkowski, Krzysztof.

FindBook

Google Book

Amazon

博客來

Intelligent medical decision support system based on imperfect information = the case of ovarian tumor diagnosis /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent medical decision support system based on imperfect information/ by Krzysztof Dyczkowski.
其他題名:	the case of ovarian tumor diagnosis /
作者:	Dyczkowski, Krzysztof.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xxi, 123 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Ovaries - Cancer -
電子資源:	http://dx.doi.org/10.1007/978-3-319-67005-8
ISBN:	9783319670058

Intelligent medical decision support system based on imperfect information = the case of ovarian tumor diagnosis /
Dyczkowski, Krzysztof.

Intelligent medical decision support system based on imperfect informationthe case of ovarian tumor diagnosis /[electronic resource] :by Krzysztof Dyczkowski. - Cham :Springer International Publishing :2018. - xxi, 123 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7351860-949X ;. - Studies in computational intelligence ;v.735..

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.

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.

ISBN: 9783319670058

Standard No.: 10.1007/978-3-319-67005-8doiSubjects--Topical Terms:

3297496
Ovaries
--Cancer

LC Class. No.: RC280.O8

Dewey Class. No.: 616.9946506

Intelligent medical decision support system based on imperfect information = the case of ovarian tumor diagnosis /
LDR:02099nmm a2200325 a 4500 001 2131683
003 DE-He213
005 20180620100138.0
006 m d
007 cr nn 008maaau
008 181005s2018 gw s 0 eng d
020 $a 9783319670058 $q (electronic bk.)
020 $a 9783319670041 $q (paper)
024 7 $a 10.1007/978-3-319-67005-8 $2 doi
035 $a 978-3-319-67005-8
040 $a GP $c GP
041 0 $a eng
050 4 $a RC280.O8
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 616.9946506 $2 23
090 $a RC280.O8 $b D994 2018
100 1 $a Dyczkowski, Krzysztof. $3 3297494
245 1 0 $a Intelligent medical decision support system based on imperfect information $h [electronic resource] : $b the case of ovarian tumor diagnosis / $c by Krzysztof Dyczkowski.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xxi, 123 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.735
505 0 $a 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.
520 $a 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.
650 0 $a Ovaries $x Cancer $x Diagnosis $x Data processing. $3 3297496
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Biomedical Engineering/Biotechnology. $3 2162071
650 2 4 $a Oncology. $3 751006
650 2 4 $a Biomedical Engineering. $3 720279
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.735. $3 3297495
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67005-8
950 $a Engineering (Springer-11647)