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

Know about the book -

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings is written by Thuy T. Pham and published by Springer. It's available with International Standard Book Number or ISBN identification 3319986759 (ISBN 10) and 9783319986753 (ISBN 13).

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.