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Applying machine learning for automated classification of biomedical data in subject-independent settings.
- Publication Year :
- 2018
-
Abstract
- Summary: 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.
- Subjects :
- Machine learning
Artificial intelligence
Medical applications
Medical informatics
Subjects
Details
- Language :
- English
- ISBN :
- 9783319986746 (hbk.)
- ISBNs :
- 9783319986746
- Database :
- Jio Institute Digital Library Catalog
- Journal :
- Applying machine learning for automated classification of biomedical data in subject-independent settings. / Thuy T. Pham
- Notes :
- Includes bibliographical references and index.
- Publication Type :
- Book
- Accession number :
- jlc.oai.folio.org.fs00001072.2ebf094b.5644.407d.83d8.78ae4d0de78a
- Document Type :
- Non-fiction