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Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease

Diagnostics(2023)10.3390/diagnostics14010013Source: DataRank Database

Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease is a research paper published in Diagnostics (2023). On theSindex it has a DataRank of 0. It has been cited 21 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access21 citations

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doi

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: goldTopics (9)IDs (PubMed, PMC)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Anurag Garikipati ORCID,Jenish Maharjan ORCID,Mădălina Ciobanu ORCID,Gina Barnes ORCID,Navan Preet Singh ORCID

Live enrichment

PubMed:38201322 PMC:PMC10795823

NIA NIH HHS

Grant: U01 AG024904

Canadian Institutes of Health Research

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

goldLicense: cc-by

publisherhttps://www.mdpi.com/2075-4418/14/1/13/pdf?version=1703147663

publisherhttps://www.mdpi.com/2075-4418/14/1/13/pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10795823/pdf/diagnostics-14-00013.pdf

repositoryhttps://doaj.org/article/843188412ab3490a8f0e5137535610f0

Europe_PMChttps://europepmc.org/articles/PMC10795823

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

Alzheimer’s diseaseMachine LearningDisease ProgressionMild Cognitive ImpairmentMedicine (General)R5-920Article