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

Thuy T. Pham

Informasi Dasar

21.21.1096
610.28
Buku - Elektronik (E-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.

Subjek

BIOINFORMATICS
 

Katalog

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
eBook ISBN 978-3-319-98675-3
107p.: pdf file.; 4 MB
English

Sirkulasi

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Tidak

Pengarang

Thuy T. Pham
Perorangan
 
 

Penerbit

Springer International Publishing
 
2019

Koleksi

Kompetensi

  • TEI7D3 - TOPIK LANJUT DALAM INSTRUMENTASI DAN PENGOLAHAN SINYAL BIOMEDIS

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