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Machine learning in cancer research with applications in colon cancer and big data analysis / by Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor.

By: Contributor(s): Material type: TextTextPublisher: Hershey, PA : Medical Information Science Reference, [2021]Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781799873174
Subject(s): Additional physical formats: Print version:: Machine learning in cancer research with applications in colon cancer and big data analysisNLM classification:
  • QZ 200
Contents:
Importance of Information Working With Colon Cancer Researchp --- An Overview on Bioinformaticsp --- Research Approach With Machine Learning Underpinnedp --- Design and Procedures for the Investigation Conductedp --- Analysis, Discussion, and Evaluations for the Case Studiesp --- Findings for the Conducted Investigationsp --- Final Remarks for the Research With Advanced Machine Learning Methods in Colon Cancer Analysisp --- Importance of Research Into Big Data With Machine Learning Approachp --- Overview of Big Data With Machine Learning Approachp --- Methodology for the Research Conductedp --- Hybrid-AutoML System Developmentp --- Research Output for the Hybrid-AutoML Systemp --- Final Remarks and Further Work for the Hybrid-AutoML Systemp
Summary: "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"-- Provided by publisher.
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Holdings
Item type Current library Shelving location Call number Status Date due Barcode Item holds
General Book General Book Kuakarun Nursing Library Processing unit QZ 200 L8 2021 (Browse shelf(Opens below)) Available 0000047279
Total holds: 0

Includes bibliographical references and index.

Importance of Information Working With Colon Cancer Researchp --- An Overview on Bioinformaticsp --- Research Approach With Machine Learning Underpinnedp --- Design and Procedures for the Investigation Conductedp --- Analysis, Discussion, and Evaluations for the Case Studiesp --- Findings for the Conducted Investigationsp --- Final Remarks for the Research With Advanced Machine Learning Methods in Colon Cancer Analysisp --- Importance of Research Into Big Data With Machine Learning Approachp --- Overview of Big Data With Machine Learning Approachp --- Methodology for the Research Conductedp --- Hybrid-AutoML System Developmentp --- Research Output for the Hybrid-AutoML Systemp --- Final Remarks and Further Work for the Hybrid-AutoML Systemp

"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"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher; resource not viewed.

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