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Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights

Nature Aging(2024)10.1038/s43587-024-00573-8Source: DataRank Database

Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights is a research paper published in Nature Aging (2024). On theSindex it has a DataRank of 2.1. It has been cited 76 times, with 68 citing works in its 1-hop citation network.

N/A

2.1DataRank · unranked

Scored on demand from live citation data

Open Access76 citations · 68 citing works in its network

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Linked data & code

reactome gwas refsnp doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 19.17)OA: hybridTopics (77)IDs (PubMed, PMC, OpenAlex)Annotations (4)SDGs (2)

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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DataRank Breakdown

Base Score 31%Citation Network 69%

Base Score Contribution

0.652

From this paper's citation signal

Citation Network Contribution

1.5

From 44 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 68 citers.

Harnessing artificial intelligence to transform Alzheimer’s disease research
Nature Medicine20255 citations4 referencesContributes 0.448
AI Used to Predict Alzheimer’s Disease
International Research Journal on Advanced Engineering and Management (IRJAEM)20241 citations6 referencesContributes 0.116
How machine learning on real world clinical data improves adverse event recording for endoscopy
npj Digital Medicine20255 citations25 referencesContributes 0.072
CARE-AD: a multi-agent large language model framework for Alzheimer’s disease prediction using longitudinal clinical notes
npj Digital Medicine202526 citations47 referencesContributes 0.070
Assessing demographic influences on recidivism: A comprehensive analysis through chi-squared tests and machine learning techniques
Cities20253 citations21 referencesContributes 0.066

Authors (21)

Katherine P. Rankin ORCID,Gabriel Cerono ORCID,Silvia Miramontes ORCID,Hunter Mills,Jacquelyn Roger ORCID

Live enrichment

PubMed:38383858 PMC:PMC10950787 OpenAlex:https://openalex.org/W4392003803

U.S. Department of Health & Human Services | National Institutes of Health

Grant: R01AG060393

U.S. Department of Health & Human Services | National Institutes of Health

Grant: T32GM007618

U.S. Department of Health & Human Services | National Institutes of Health

Grant: P30-AG062422

U.S. Department of Health & Human Services | National Institutes of Health

Grant: R35GM138353 and RF1AG077443.

NIA NIH HHS

Grant: P30 AG062422

NIA NIH HHS

Grant: RF1 AG077443

NIA NIH HHS

Grant: F30 AG079504

NIGMS NIH HHS

Grant: R35 GM138353

NIA NIH HHS

Grant: R01 AG077443

National Institutes of Health

Grant: 5R01AG060393-03

An Integrative Multi-Omics Approach to Elucidate Sex-Specific Differences in Alzheimers Disease

National Institutes of Health

Grant: 5P30AG062422-03

New Approaches to Dementia Heterogeneity

National Institutes of Health

Grant: 5R35GM138353-03

Machine Learning for Integrative Modeling of the Immune System in Clinical Settings

National Institutes of Health

Grant: 5T32GM007618-27

MEDICAL SCIENTIIST TRAINING PROGRAM

National Institutes of Health

Grant: 1RF1AG077443-01A1

Neuropathology of synapses in AD and ADRD

National Institutes of Health

Grant: 1F30AG079504-01

Leveraging Clinical Data for Phenotyping and Predictive Modelling of Alzheimer’s Disease

National Science Foundation

Heidrich Family and Friends Endownment

National Multiple Sclerosis Society

FWCI

19.17

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

hybridLicense: cc-by

journalhttps://www.nature.com/articles/s43587-024-00573-8.pdf

publisherhttps://www.nature.com/articles/s43587-024-00573-8.pdf

publisherhttps://www.nature.com/articles/s43587-024-00573-8

journalhttps://doi.org/10.1038/s43587-024-00573-8

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38383858

Fields of Study

Health, Environment, Cognitive AgingMachine Learning in HealthcareGenetic Associations and Epidemiology0301 basic medicine0303 health sciences03 medical and health sciencesMaleHumansFemaleAlzheimer DiseaseElectronic Health RecordsApolipoproteins ESan Francisco

MeSH Terms

Alzheimer DiseaseApolipoproteins EFemaleHumansMaleSan FranciscoElectronic Health Records

Keywords

Health recordsDiseaseData scienceAlzheimer's diseaseComputer scienceComputational biologyBiologyMedicineHealth carePathologyPolitical scienceMaleAgingNeurodegenerativeAcquired Cognitive Impairment (rcdc)Aging (rcdc)Brain Disorders (rcdc)Precision Medicine (rcdc)Dementia (rcdc)2.1 Biological and endogenous factorsElectronic Health RecordsPrecision Medicine32 Biomedical and Clinical Sciences (for-2020)Male (mesh)Neurosciences (rcdc)Neurodegenerative (rcdc)Alzheimer Disease (mesh)Humans (mesh)Alzheimer's Disease (rcdc)3 Good Health and Well Being (sdg)San Francisco (mesh)NeurologicalFemale570Clinical Sciences610Electronic Health Records (mesh)Apolipoproteins EAlzheimer DiseaseAcquired Cognitive ImpairmentHumans3202 Clinical Sciences (for-2020)Biomedical and Clinical SciencesNeurological (hrcs-hc)4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac)NeurosciencesAlzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)2.1 Biological and endogenous factors (hrcs-rac)Brain Disorders4.1 Discovery and preclinical testing of markers and technologiesGood Health and Well BeingApolipoproteins E (mesh)Female (mesh)DementiaAlzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) (rcdc)San FranciscoAnalysis

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Gender equality