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Deriving Explainable Metrics of Left Ventricular Flow by Reduced-Order Modeling and Classification

medRxiv(2023)10.1101/2023.10.03.23296524Source: DataRank Database

Deriving Explainable Metrics of Left Ventricular Flow by Reduced-Order Modeling and Classification is a research paper published in medRxiv (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (15)IDs (PubMed, OpenAlex)SDGs (2)

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Authors (7)

Pablo Martínez‐Legazpi ORCID,Cathleen Nguyen,Óscar Flores ORCID,Andrew M. Kahn ORCID,Javier Bermejo ORCID

Live enrichment

PubMed:37873442 OpenAlex:https://openalex.org/W4387358660

National Institutes of Health

Grant: 5R01HL158667-02

Mechanistic Relationships Between Fibrosis, Fibrillation, and Stroke: Multi-Scale, Multi-Physics Simulations

National Science Foundation

Grant: 2140004

Graduate Research Fellowship Program (GRFP)

National Institutes of Health

Grant: 5R01HL160024-04

Patient-specific thrombosis risk in atrial fibrillation by 4D CT imaging of atrial kinetics combined with computational fluid dynamics

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/10/05/2023.10.03.23296524.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.03.23296524

repositoryhttps://doi.org/10.1101/2023.10.03.23296524

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37873442

Fields of Study

Cardiovascular Function and Risk FactorsCardiac electrophysiology and arrhythmiasModel Reduction and Neural Networks03 medical and health sciences0302 clinical medicine

Keywords

Order (exchange)Flow (mathematics)Computer scienceCardiologyInternal medicineMedicineMathematicsBusinessGeometryArticle

Sustainable Development Goals

SDG 0: Reduced inequalitiesSDG 0: Peace, Justice and strong institutions