國立虎尾科技大學 |

Soft Computing for Biomedical Applications and Related Topics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Soft Computing for Biomedical Applications and Related Topics/ edited by Vladik Kreinovich, Nguyen Hoang Phuong.
other author:	Kreinovich, Vladik.
Description:	IX, 329 p. 195 illus., 123 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-49536-7
ISBN:	9783030495367

Soft Computing for Biomedical Applications and Related Topics
Soft Computing for Biomedical Applications and Related Topics[electronic resource] /edited by Vladik Kreinovich, Nguyen Hoang Phuong. - 1st ed. 2021. - IX, 329 p. 195 illus., 123 illus. in color.online resource. - Studies in Computational Intelligence,8991860-9503 ;. - Studies in Computational Intelligence,564.

Multiagent Smart Communication Based on CI Technology -- Develop a Prediction Model for Nonmelanoma Skin Cancer Using Deep Learning in EHR data -- VectorDefense: Vectorization as a Defense to Adversarial Examples -- Artificial Intelligence in Infection Control—Healthcare Institutions Need Intelligent Information and Communication Technologies for Surveillance and Benchmarking -- Why some Non-Classical Logics are more Studied? -- Why h-index? -- Accuracy of Data Fusion: Interval (and Fuzzy) Case -- Imputing Missing Values: Reinforcement Bayesian Regression and Random Forest -- From Machine Learning to Knowledge-based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees.

This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques. .

ISBN: 9783030495367

Standard No.: 10.1007/978-3-030-49536-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Soft Computing for Biomedical Applications and Related Topics
LDR:03209nam a22004095i 4500 001 1048305
003 DE-He213
005 20211014144557.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030495367 $9 978-3-030-49536-7
024 7 $a 10.1007/978-3-030-49536-7 $2 doi
035 $a 978-3-030-49536-7
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Soft Computing for Biomedical Applications and Related Topics $h [electronic resource] / $c edited by Vladik Kreinovich, Nguyen Hoang Phuong.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a IX, 329 p. 195 illus., 123 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-9503 ; $v 899
505 0 $a Multiagent Smart Communication Based on CI Technology -- Develop a Prediction Model for Nonmelanoma Skin Cancer Using Deep Learning in EHR data -- VectorDefense: Vectorization as a Defense to Adversarial Examples -- Artificial Intelligence in Infection Control—Healthcare Institutions Need Intelligent Information and Communication Technologies for Surveillance and Benchmarking -- Why some Non-Classical Logics are more Studied? -- Why h-index? -- Accuracy of Data Fusion: Interval (and Fuzzy) Case -- Imputing Missing Values: Reinforcement Bayesian Regression and Random Forest -- From Machine Learning to Knowledge-based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees.
520 $a This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques. .
650 0 $a Computational intelligence. $3 568984
650 0 $a Engineering mathematics. $3 562757
650 0 $a Biomedical engineering. $3 588770
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Engineering Mathematics. $3 1203947
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
700 1 $a Kreinovich, Vladik. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 964800
700 1 $a Hoang Phuong, Nguyen. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1352136
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030495350
776 0 8 $i Printed edition: $z 9783030495374
776 0 8 $i Printed edition: $z 9783030495381
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-030-49536-7
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)