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Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conv...

Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conv...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8429015

Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conversion

About this item

Full title

Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conversion

Publisher

United States: Hindawi

Journal title

BioMed research international, 2021, Vol.2021 (1), p.5531940-5531940

Language

English

Formats

Publication information

Publisher

United States: Hindawi

More information

Scope and Contents

Contents

Accurate recognition of progressive mild cognitive impairment (MCI) is helpful to reduce the risk of developing Alzheimer’s disease (AD). However, it is still challenging to extract effective biomarkers from multivariate brain structural magnetic resonance imaging (MRI) features to accurately differentiate the progressive MCI from stable MCI. We de...

Alternative Titles

Full title

Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conversion

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8429015

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8429015

Other Identifiers

ISSN

2314-6133

E-ISSN

2314-6141

DOI

10.1155/2021/5531940

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