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Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data

Journal of Alzheimer s Disease(2025)10.1177/13872877241306654Source: DataRank Database

Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data is a research paper published in Journal of Alzheimer s Disease (2025). On theSindex it has a DataRank of 0. It has been cited 7 times.

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7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 5.81)OA: closedTopics (48)IDs (PubMed, OpenAlex)SDGs (1)

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 (9)

Janina Krell‐Roesch ORCID,Erica Forzani ORCID,David S. Knopman ORCID,Cliff R Jack,Ronald C. Petersen ORCID

Live enrichment

PubMed:39791216 OpenAlex:https://openalex.org/W4406248002

National Institutes of Health

Grant: AG57708

NIA NIH HHS

Grant: R01 AG069453

NIA NIH HHS

Grant: R01 AG057708

FWCI

5.81

Citation Percentile

1.0%

Citation Trend

2025

2026

closedLicense: https://journals.sagepub.com/page/policies/text-and-data-mining-license

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/13872877241306654

publisherhttps://journals.sagepub.com/doi/full-xml/10.1177/13872877241306654

journalhttps://doi.org/10.1177/13872877241306654

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39791216

Fields of Study

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity StudiesNeurobiology of Language and BilingualismHumansMachine LearningAlzheimer DiseaseMaleFemaleAgedBiomarkersCognitive DysfunctionNeuropsychological TestsMiddle AgedAged, 80 and over

MeSH Terms

Machine LearningAgedAged, 80 and overAlzheimer DiseaseFemaleHumansMaleMiddle AgedNeuropsychological TestsPredictive Value of TestsBiomarkersCognitive Dysfunction

Keywords

Cognitive declineCognitionNeuropsychologyBeck Anxiety InventoryNeuroimagingBiomarkerAnxietyDementiaPopulationPsychologyNeuropsychological assessmentClinical psychologyMedicineDiseasePsychiatryBeck Depression InventoryInternal medicineEnvironmental healthMachine LearningNeuropsychiatric SymptomsAlzheimer's Disease BiomarkersCognitive Trajectory

Sustainable Development Goals

SDG 0: Quality Education

Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data

FAIR Checklist

Authors (9)

Funding (3 grants)

Impact

Open Access

Topics