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Springer Theses

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings

Authors: T. Pham, Thuy

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  • Nominated as an outstanding PhD thesis by The University of Sydney, Australia
  • Reports on an improved feature selection technique based on voting
  • Offers a comprehensive review of machine learning methods for unsupervised classification and feature selection
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eBook $109.00
price for USA in USD
  • ISBN 978-3-319-98675-3
  • Digitally watermarked, DRM-free
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Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-98674-6
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  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $149.99
price for USA in USD
  • ISBN 978-3-030-07518-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.


Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-319-98675-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-98674-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $149.99
price for USA in USD
  • ISBN 978-3-030-07518-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
Authors
Series Title
Springer Theses
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-98675-3
DOI
10.1007/978-3-319-98675-3
Hardcover ISBN
978-3-319-98674-6
Softcover ISBN
978-3-030-07518-7
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XV, 107
Number of Illustrations
3 b/w illustrations, 32 illustrations in colour
Topics