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Integrating Machine Learning and Environmental and Genetic Risk Factors for the Early Detection of Preclinical Alzheimer’s Disease

The Journals of Gerontology Series B(2025)10.1093/geronb/gbaf023Source: DataRank Database

Integrating Machine Learning and Environmental and Genetic Risk Factors for the Early Detection of Preclinical Alzheimer’s Disease is a research paper published in The Journals of Gerontology Series B (2025). 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

Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.76)OA: greenTopics (50)IDs (PubMed, PMC, OpenAlex)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 (7)

Mahmoud Abouelyazid,David C. Brown ORCID,Pooja Lalwani ORCID,Hannes Devos ORCID,David B. Carr ORCID

Live enrichment

PubMed:39969227 PMC:PMC12223364 OpenAlex:https://openalex.org/W4407743780

National Institute on Aging

Grant: R01AG068183 (GMB)

National Institute on Aging

Grant: R01AG056466

National Institute on Aging

Grant: R01AG067428

NIA NIH HHS

Grant: R01 AG068183

NIH HHS

FWCI

0.76

Citation Percentile

0.7%

Citation Trend

2025

greenLicense: https://academic.oup.com/pages/standard-publication-reuse-rights

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12223364/

publisherhttps://academic.oup.com/psychsocgerontology/advance-article-pdf/doi/10.1093/geronb/gbaf023/61979851/gbaf023.pdf

publisherhttps://academic.oup.com/psychsocgerontology/article-pdf/80/7/gbaf023/61979851/gbaf023.pdf

journalhttps://doi.org/10.1093/geronb/gbaf023

Fields of Study

Dementia and Cognitive Impairment ResearchOlder Adults Driving StudiesFunctional Brain Connectivity StudiesHumansAlzheimer DiseaseAgedMaleMachine LearningFemaleEarly DiagnosisRisk FactorsLongitudinal StudiesAged, 80 and overProdromal SymptomsBiomarkersNeighborhood CharacteristicsPositron-Emission Tomography

MeSH Terms

Machine LearningNeighborhood CharacteristicsAgedAged, 80 and overAlzheimer DiseaseFemaleHumansLongitudinal StudiesMaleRisk FactorsBiomarkersEarly DiagnosisPositron-Emission TomographyProdromal Symptoms

Keywords

GeocodingMachine learningSocioeconomic statusMedicineDementiaDiseaseArtificial intelligenceComputer sciencePsychologyInternal medicineEnvironmental healthCartographyGeographyPopulationPredictive modelingBiomarkersArea Deprivation IndexNaturalistic Driving BehaviorResampling/bootstrapping Methods

Integrating Machine Learning and Environmental and Genetic Risk Factors for the Early Detection of Preclinical Alzheimer’s Disease

FAIR Checklist

Authors (7)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)