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

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, includ...

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Detaylı Bibliyografya
Yazar: Pham, Thuy T. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Springer Theses, Recognizing Outstanding Ph.D. Research,
Konular:
Biomedical engineering.
Data mining.
Computational intelligence.
Bioinformatics.
Biomedical Engineering and Bioengineering.
Data Mining and Knowledge Discovery.
Computational Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • Introduction
  • Background
  • Algorithms
  • Point Anomaly Detection: Application to Freezing of Gait Monitoring
  • Collective Anomaly Detection: Application to Respiratory Artefact Removals
  • Spike Sorting: Application to Motor Unit Action Potential Discrimination
  • Conclusion .

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