Machine learning in cancer research with applications in colon cancer and big data analysis Advances in medical technologies and clinical practice book series./ Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor.

Bibliographic Details
Title: Machine learning in cancer research with applications in colon cancer and big data analysis Advances in medical technologies and clinical practice book series./ Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor.
Authors: Lu Zhongyu, Xu Qiang, Al-Rajab Murad, Chiazor Lamogha
Source: EN05CEBSCO05C2735
Publication Year: 2021
Collection: Kazan Federal University Digital Repository
Subject Terms: Cancer -- Research, Colon (Anatomy) -- Cancer -- Research, Cancer -- Diagnosis, Bioinformatics, Big data, Problem solving -- Data processing, Electronic books
Description: "Premier reference source"--Cover. ; Includes bibliographical references and index. ; "This book presents a general picture for the latest research output and the state of the art technology in the bioinformatics in cancer research, and big data, machine learning theory and technologies in the various applications"-- ; Chapter 1. Importance of information working with colon cancer research -- Chapter 2. An overview on bioinformatics -- Chapter 3. Research approach with machine learning underpinned -- Chapter 4. Design and procedures for the investigation conducted -- Chapter 5. Findings for the conducted investigations -- Chapter 6. Analysis, discussion, and evaluations for the case studies -- Chapter 7. Final remarks for the research with advanced machine learning methods in colon cancer analysis -- Chapter 8. Importance of research into big data with machine learning approach -- Chapter 9. Overview of big data with machine learning approach -- Chapter 10. Methodology for the research conducted -- Chapter 11. Hybrid-automl system development -- Chapter 12. Research output for the hybrid-automl system -- Chapter 13. Final remarks and further work for the hybrid-automl system. ; 1 online resource (ix, 263 pages)
Document Type: book
Language: English
ISBN: 978-1-79987-317-4
1-79987-317-X
Relation: Advances in medical technologies and clinical practice (AMTCP) book series; Advances in medical technologies and clinical practice book series.; http://dspace.kpfu.ru/xmlui/bitstream/net/181224/-1/2916872.pdf; 179987317X; https://dspace.kpfu.ru/xmlui/handle/net/181224
Availability: https://dspace.kpfu.ru/xmlui/handle/net/181224
Accession Number: edsbas.8DB234F9
Database: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://dspace.kpfu.ru/xmlui/handle/net/181224#
    Name: EDS - BASE (ns324271)
    Category: fullText
    Text: View record from BASE
Header DbId: edsbas
DbLabel: BASE
An: edsbas.8DB234F9
RelevancyScore: 851
AccessLevel: 3
PubType: Book
PubTypeId: book
PreciseRelevancyScore: 851.347900390625
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine learning in cancer research with applications in colon cancer and big data analysis Advances in medical technologies and clinical practice book series./ Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lu+Zhongyu%22">Lu Zhongyu</searchLink><br /><searchLink fieldCode="AR" term="%22Xu+Qiang%22">Xu Qiang</searchLink><br /><searchLink fieldCode="AR" term="%22Al-Rajab+Murad%22">Al-Rajab Murad</searchLink><br /><searchLink fieldCode="AR" term="%22Chiazor+Lamogha%22">Chiazor Lamogha</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: EN05CEBSCO05C2735
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2021
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: Kazan Federal University Digital Repository
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cancer+--+Research%22">Cancer -- Research</searchLink><br /><searchLink fieldCode="DE" term="%22Colon+%28Anatomy%29+--+Cancer+--+Research%22">Colon (Anatomy) -- Cancer -- Research</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+--+Diagnosis%22">Cancer -- Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving+--+Data+processing%22">Problem solving -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: "Premier reference source"--Cover. ; Includes bibliographical references and index. ; "This book presents a general picture for the latest research output and the state of the art technology in the bioinformatics in cancer research, and big data, machine learning theory and technologies in the various applications"-- ; Chapter 1. Importance of information working with colon cancer research -- Chapter 2. An overview on bioinformatics -- Chapter 3. Research approach with machine learning underpinned -- Chapter 4. Design and procedures for the investigation conducted -- Chapter 5. Findings for the conducted investigations -- Chapter 6. Analysis, discussion, and evaluations for the case studies -- Chapter 7. Final remarks for the research with advanced machine learning methods in colon cancer analysis -- Chapter 8. Importance of research into big data with machine learning approach -- Chapter 9. Overview of big data with machine learning approach -- Chapter 10. Methodology for the research conducted -- Chapter 11. Hybrid-automl system development -- Chapter 12. Research output for the hybrid-automl system -- Chapter 13. Final remarks and further work for the hybrid-automl system. ; 1 online resource (ix, 263 pages)
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: book
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: ISBN
  Label: ISBN
  Group: ISBN
  Data: 978-1-79987-317-4<br />1-79987-317-X
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: Advances in medical technologies and clinical practice (AMTCP) book series; Advances in medical technologies and clinical practice book series.; http://dspace.kpfu.ru/xmlui/bitstream/net/181224/-1/2916872.pdf; 179987317X; https://dspace.kpfu.ru/xmlui/handle/net/181224
– Name: URL
  Label: Availability
  Group: URL
  Data: https://dspace.kpfu.ru/xmlui/handle/net/181224
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.8DB234F9
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.8DB234F9
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Cancer -- Research
        Type: general
      – SubjectFull: Colon (Anatomy) -- Cancer -- Research
        Type: general
      – SubjectFull: Cancer -- Diagnosis
        Type: general
      – SubjectFull: Bioinformatics
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Problem solving -- Data processing
        Type: general
      – SubjectFull: Electronic books
        Type: general
    Titles:
      – TitleFull: Machine learning in cancer research with applications in colon cancer and big data analysis Advances in medical technologies and clinical practice book series./ Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lu Zhongyu
      – PersonEntity:
          Name:
            NameFull: Xu Qiang
      – PersonEntity:
          Name:
            NameFull: Al-Rajab Murad
      – PersonEntity:
          Name:
            NameFull: Chiazor Lamogha
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781799873174
            – Type: isbn-print
              Value: 179987317X
            – Type: issn-locals
              Value: edsbas
          Titles:
            – TitleFull: EN05CEBSCO05C2735
              Type: main
ResultId 1