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

Released on by Thuy T. Pham
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  • Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings Book Detail

  • Author : Thuy T. Pham
  • Release Date : 2018-08-23
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 114
  • ISBN 13 : 3319986759
  • File Size : 67,67 MB
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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings by Thuy T. Pham PDF Summary

Book Description: 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.

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