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Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States

Cardiovascular revascularization medicine(2020)10.1016/j.carrev.2020.06.017Source: DataRank Database

Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States is a research paper published in Cardiovascular revascularization medicine (2020). On theSindex it has a DataRank of 0. It has been cited 45 times.

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Open Access45 citations

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Enrichment:Funding (8 grants)OA: greenTopics (10)IDs (PubMed, PMC)Annotations (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (19)

Sagar Ranka ORCID,Yeunjung Kim,Azeem Latib ORCID,José Wiley ORCID,Angel López‐Candales ORCID

Live enrichment

PubMed:32591310 PMC:PMC7736498

NCATS NIH HHS

Grant: TL1 TR001434

NIMHD NIH HHS

Grant: R25 MD007607

NIGMS NIH HHS

Grant: P20 GM103475

NIMHD NIH HHS

Grant: S21 MD001830

NIMHD NIH HHS

Grant: U54 MD007587

NIGMS NIH HHS

Grant: U54 GM133807

NIMHD NIH HHS

Grant: U54 MD007600

National Institutes of Health

greenLicense: https://www.elsevier.com/legal/tdmrep-license

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7736498

publisherhttps://api.elsevier.com/content/article/PII:S1553838920303687?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1553838920303687?httpAccept=text/plain

MeSH Terms

Mitral ValveHumansMitral Valve InsufficiencyHospital MortalityBayes TheoremUnited StatesMachine Learning

Keywords

MortalityMachine LearningTranscatheter Mitral Valve Repair

Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States

FAIR Checklist

Authors (19)

Funding (8 grants)

Open Access

Topics

Annotations (Europe PMC)