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AI-powered model for accurate prediction of MCI-to-AD progression

Acta Pharmaceutica Sinica B(2025)10.1016/j.apsb.2025.01.027Source: DataRank Database

AI-powered model for accurate prediction of MCI-to-AD progression is a research paper published in Acta Pharmaceutica Sinica B (2025). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 6.16)OA: goldTopics (12)IDs (PubMed, PMC, OpenAlex)

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 (7)

Jingna Feng ORCID,Xinyue Hu ORCID,Fang Li ORCID,Sori Kim Lundin ORCID,Paul E. Schulz ORCID

Live enrichment

PubMed:41049748 PMC:PMC12491705 OpenAlex:https://openalex.org/W4407312826

National Institute on Aging

Grant: R01AG084236

National Institute on Aging

Grant: R01AG083039 RF1AG072799

National Institute on Aging

Grant: R56AG074604

National Institute on Aging

Grant: RF1AG072799

National Institutes of Health

FWCI

6.16

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.apsb.2025.01.027

publisherhttps://doi.org/10.1016/j.apsb.2025.01.027

publisherhttps://api.elsevier.com/content/article/PII:S2211383525000346?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2211383525000346?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41049748

Fields of Study

Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Keywords

Computer scienceArtificial intelligencePsychologyMachine learningPredictive modelingRisk stratificationElectronic Health RecordsBigruLongitudinal Claim Data