國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings/ by Thuy T. Pham.
作者:	Pham, Thuy T.
面頁冊數:	XV, 107 p. 35 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Biomedical engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-98675-3
ISBN:	9783319986753

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
Pham, Thuy T.

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings[electronic resource] /by Thuy T. Pham. - 1st ed. 2019. - XV, 107 p. 35 illus., 32 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053. - Springer Theses, Recognizing Outstanding Ph.D. Research,.

Introduction -- Background -- Algorithms -- Point Anomaly Detection: Application to Freezing of Gait Monitoring -- Collective Anomaly Detection: Application to Respiratory Artefact Removals -- Spike Sorting: Application to Motor Unit Action Potential Discrimination -- Conclusion .

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.

ISBN: 9783319986753

Standard No.: 10.1007/978-3-319-98675-3doiSubjects--Topical Terms:

588770
Biomedical engineering.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

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