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Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score

Open Heart(2022)10.1136/openhrt-2022-001990Source: DataRank Database

Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score is a research paper published in Open Heart (2022). On theSindex it has a DataRank of 0. It has been cited 18 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access18 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 2.31)OA: goldTopics (43)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (8)

Paul D Myers,John V. Guttag ORCID,Romain Capoulade ORCID,Philippe Pîbarot ORCID,Michael H. Picard ORCID

Live enrichment

PubMed:35641101 PMC:PMC9157386 OpenAlex:https://openalex.org/W4282004630

CIHR

Grant: MOP-114997

NHLBI NIH HHS

Grant: R01 HL103723

CIHR

Grant: FDN-143225

Canadian Institutes of Health Research

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1R01HL103723-01A1

Echocardiography to Predict Recurrent IMR After Surgical Mitral Valve Replacement

FWCI

2.31

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://openheart.bmj.com/content/openhrt/9/1/e001990.full.pdf

publisherhttps://openheart.bmj.com/content/openhrt/9/1/e001990.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1136/openhrt-2022-001990

journalhttps://doi.org/10.1136/openhrt-2022-001990

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35641101

Fields of Study

Cardiac Valve Diseases and TreatmentsCongenital Heart Disease StudiesCardiovascular Function and Risk Factors03 medical and health sciences0302 clinical medicineAortic ValveAortic Valve StenosisHeart Valve ProsthesisHeart Valve Prosthesis ImplantationHumansMachine Learning

MeSH Terms

Machine LearningAortic ValveAortic Valve StenosisHeart Valve ProsthesisHumansHeart Valve Prosthesis Implantation

Keywords

Receiver operating characteristicMedicineStenosisLogistic regressionInternal medicineCardiologyQuartileAortic valve stenosisFramingham Risk ScoreLasso (programming language)Aortic valve replacementConfidence intervalComputer scienceArtificial intelligenceEchocardiographyClinical outcomeAortic StenosisMachine LearningHeart Valve Prosthesis Implantation[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyRC666-701Valvular Heart DiseaseAortic ValveHeart Valve ProsthesisDiseases of the circulatory (Cardiovascular) systemHumans

Sustainable Development Goals

SDG 0: Good health and well-being

Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score

FAIR Checklist

Authors (8)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)