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03320nam a2200553 4500 |
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|a 9783319986753
|9 978-3-319-98675-3
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|a 10.1007/978-3-319-98675-3
|2 doi
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|a 610.28
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|a Pham, Thuy T.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
|h [electronic resource] /
|c by Thuy T. Pham.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a XV, 107 p. 35 illus., 32 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a 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 .
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|a 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.
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|a Biomedical engineering.
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|a Data mining.
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|a Computational intelligence.
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|a Bioinformatics.
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|a Biomedical Engineering and Bioengineering.
|0 http://scigraph.springernature.com/things/product-market-codes/T2700X
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|a Data Mining and Knowledge Discovery.
|0 http://scigraph.springernature.com/things/product-market-codes/I18030
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|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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|a Bioinformatics.
|0 http://scigraph.springernature.com/things/product-market-codes/L15001
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319986746
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|i Printed edition:
|z 9783319986760
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|i Printed edition:
|z 9783030075187
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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856 |
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|u https://doi.org/10.1007/978-3-319-98675-3
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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