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Enhanced osteoporotic fracture prediction in postmenopausal women using Bayesian optimization of machine learning models with genetic risk score

Journal of Bone and Mineral Research(2024)10.1093/jbmr/zjae025Source: DataRank Database

Enhanced osteoporotic fracture prediction in postmenopausal women using Bayesian optimization of machine learning models with genetic risk score is a research paper published in Journal of Bone and Mineral Research (2024). On theSindex it has a DataRank of 0.425. It has been cited 16 times.

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0.425DataRank · unranked

Scored on demand from live citation data

Open Access16 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Topics (29)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.425

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (2)

Jingyuan Dai ORCID,Qing Wu ORCID

Live enrichment

PubMed:38477741 PMC:PMC11262147

National Institute on Minority Health and Health Disparities

Grant: R21MD013681

National Institute of Aging

Grant: R01AG080017

National Institute of General Medical Sciences

Grant: P20GM121325

Fields of Study

AgedFemaleHumansMiddle AgedBayes TheoremGenetic Risk ScoreGenome-Wide Association StudyMachine LearningOsteoporotic FracturesPolymorphism, Single NucleotidePostmenopauseRisk Assessment

MeSH Terms

HumansBayes TheoremRisk AssessmentPostmenopausePolymorphism, Single NucleotideAgedMiddle AgedFemaleGenome-Wide Association StudyOsteoporotic FracturesMachine LearningGenetic Risk Score

Keywords

Machine LearningFraxGenetic Risk ScoreMajor Osteoporotic FractureBayesian Optimization

Enhanced osteoporotic fracture prediction in postmenopausal women using Bayesian optimization of machine learning models with genetic risk score

FAIR Checklist

DataRank Breakdown

Authors (2)

Funding (3 grants)

Topics

Annotations (Europe PMC)