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Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

JMIR Medical Informatics(2022)10.2196/43053Source: DataRank Database

Ontologies Applied in Clinical Decision Support System Rules: Systematic Review is a research paper published in JMIR Medical Informatics (2022). On theSindex it has a DataRank of 0. It has been cited 32 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access32 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 1.40)OA: goldTopics (15)IDs (PubMed, PMC, OpenAlex)SDGs (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 (11)

Hua Min ORCID,Yang Gong ORCID,Paul Biondich ORCID,David J. Robinson ORCID,Timothy Law ORCID

Live enrichment

PubMed:36534739 PMC:PMC9896360 OpenAlex:https://openalex.org/W4312019156

NIGMS NIH HHS

Grant: R01 GM138589

NIGMS NIH HHS

Grant: P20 GM121342

FWCI

1.40

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://jmir.org/api/download?alt_name=medinform_v11i1e43053_app1.pdf&filename=fb414e1b11c3b1e002d2cde97f5279e5.pdf

publisherhttps://jmir.org/api/download?alt_name=medinform_v11i1e43053_app1.pdf&filename=fb414e1b11c3b1e002d2cde97f5279e5.pdf

publisherhttps://medinform.jmir.org/2023/1/e43053

journalhttps://doi.org/10.2196/43053

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36534739

Fields of Study

Electronic Health Records SystemsBiomedical Text Mining and OntologiesMachine Learning in Healthcare

Keywords

Computer scienceClinical decision support systemDecision support systemData miningData scienceSoftware engineeringKnowledge managementClinical Decision Support SystemsOntologyInteroperabilitySemantic Web TechnologyClinical Decision Support System Rules

Sustainable Development Goals

SDG 0: Reduced inequalities