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

Thuy T. Pham

Informasi Umum

Kode

21.21.1096

Klasifikasi

610.28 - Biomedical Engineering

Jenis

Buku - Elektronik (E-Book)

Subjek

Bioinformatics

No. Rak

Dilihat

176 kali

Informasi Lainnya

Abstraksi

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.