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

Download or read book Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings written by Thuy T. Pham and published by Springer. This book was released on 2018-08-23 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.