Intelligent Computing in Carcinogenic Disease Detection (Record no. 88023)

000 -LEADER
fixed length control field 03813nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-981-97-2424-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172121.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240517s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789819724246
-- 978-981-97-2424-6
082 04 - CLASSIFICATION NUMBER
Call Number 005.7
100 1# - AUTHOR NAME
Author Das Sharma, Kaushik.
245 10 - TITLE STATEMENT
Title Intelligent Computing in Carcinogenic Disease Detection
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 180 p. 88 illus., 35 illus. in color.
490 1# - SERIES STATEMENT
Series statement Computational Intelligence Methods and Applications,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Chapter 1. Introduction -- Chapter 2. Biological Background of Benchmark Carcinogenic Data Sets -- Chapter 3. Intelligent Computing Approaches for Carcinogenic Disease Detection: A Review -- Chapter 4. Classical Approaches in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 5. Intelligent Computing Approach in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 6. Intelligent Computing Approach for Leukocyte Identification -- Chapter 7. Intelligent Computing Approach for Lung Nodule Detection -- Chapter 8. Conclusion -- Index.
520 ## - SUMMARY, ETC.
Summary, etc This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
700 1# - AUTHOR 2
Author 2 Kar, Subhajit.
700 1# - AUTHOR 2
Author 2 Maitra, Madhubanti.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-97-2424-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2024.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Theory and Algorithms for Application Domains.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Engineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2510-1773
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-- ZDB-2-SCS
912 ## -
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