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An efficient machine learning framework to identify important clinical features associated with pulmonary embolism

PLoS ONE(2023)10.1371/journal.pone.0292185Source: DataRank Database

An efficient machine learning framework to identify important clinical features associated with pulmonary embolism is a research paper published in PLoS ONE (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 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 0.45)OA: goldTopics (32)IDs (PubMed, PMC, OpenAlex)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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Authors (3)

Fei Zou ORCID,Jianwen Cai ORCID,Baiming Zou ORCID

Live enrichment

PubMed:37768933 PMC:PMC10538737 OpenAlex:https://openalex.org/W4387130753

NIH

Grant: R56LM013784

National Institutes of Health

Grant: 1R56LM013784-01A1

Novel Deep Learning Tools for Clinical Decision Support in Postoperative Pain Management

the Junior Faculty Development Award of University of North Carolina - Chapel Hill

FWCI

0.45

Citation Percentile

0.7%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292185&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292185&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0292185

journalhttps://doi.org/10.1371/journal.pone.0292185

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37768933

Fields of Study

Venous Thromboembolism Diagnosis and ManagementAcute Ischemic Stroke ManagementReliability and Agreement in Measurement02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Machine LearningAsthmaDyspneaHumansPulmonary EmbolismNeural Networks, Computer

Keywords

Pulmonary embolismExacerbationFeature (linguistics)MedicineMachine learningArtificial intelligenceArtificial neural networkAsthmaClinical PracticeComputer scienceIntensive care medicinePhysical therapyCardiologyInternal medicineScienceQRDyspneaHumansNeural Networks, ComputerResearch Article

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being