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An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects

International Journal of Imaging Systems and Technology(2021)10.1002/ima.22656Source: DataRank Database

An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects is a research paper published in International Journal of Imaging Systems and Technology (2021). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.09)OA: closedTopics (13)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Sanjay Agrawal ORCID,Rutuparna Panda ORCID,Ajith Abraham ORCID,Lingraj Dora ORCID

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W3204838022

National Institutes of Health

Grant: U01 AG024904

FWCI

0.09

Citation Percentile

0.4%

Citation Trend

2023

closedLicense: http://onlinelibrary.wiley.com/termsAndConditions#am

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22656

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/ima.22656

publisherhttps://onlinelibrary.wiley.com/doi/am-pdf/10.1002/ima.22656

journalhttps://doi.org/10.1002/ima.22656

Fields of Study

Face and Expression RecognitionBrain Tumor Detection and ClassificationSparse and Compressive Sensing Techniques

Keywords

OverfittingArtificial intelligenceComputer scienceMulticlass classificationPattern recognition (psychology)Binary classificationClassifier (UML)Machine learningArtificial neural networkSupport vector machine