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.
Material type:
TextPublisher: Hershey, PA : Medical Information Science Reference, [2021]Description: 1 online resourceContent type: - text
- computer
- online resource
- 9781799873174
- QZ 200
| Item type | Current library | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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General Book
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Kuakarun Nursing Library | Processing unit | QZ 200 L8 2021 (Browse shelf(Opens below)) | Available | 0000047279 |
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| QZ 200 B611 2013 The basic science of oncology | QZ 200 C215 2012 Cancer and aging handbook : research and practice | QZ 200 D496 2015 Devita, Hellman, and Rosenberg's cancer : | QZ 200 L8 2021 Machine learning in cancer research with applications in colon cancer and big data analysis / | QZ 200 S652 2001 6 th national cancer conference; cancer & genetics, December 3-4, 2001, Thailand, program/abstracts | QZ 200 W877h 1999 Hematology Oncololgy secrets/ | QZ 200 จ653ม 2539 "มะเร็ง" โรคไม่ติดต่อแต่ร้ายแรง |
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.
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