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Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysis

JTCVS Open(2024)10.1016/j.xjon.2024.06.001Source: DataRank Database

Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysis is a research paper published in JTCVS Open (2024). On theSindex it has a DataRank of 0. It has been cited 22 times.

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Authors (40)

Preetham Bachina ORCID,Benjamin L. Shou ORCID,Jaeho Hwang ORCID,Meylakh Barshay ORCID,Shreyas Kulkarni ORCID

Live enrichment

PubMed:39296456 PMC:PMC11405982

NHLBI NIH HHS

Grant: R25 HL088992

NHLBI NIH HHS

Grant: T35 HL094308

National Institutes of Health

Grant: 5K23HL157610-02

CLots and Oxygen in Va-ExtracorpoReal membrane oxygenation (CLOVER) study

NIH

diamondLicense: CC BY NC ND

publisherhttps://api.elsevier.com/content/article/PII:S266627362400158X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S266627362400158X?httpAccept=text/plain

Europe_PMChttps://europepmc.org/articles/PMC11405982

Europe_PMChttps://europepmc.org/articles/PMC11405982?pdf=render

https://doi.org/10.1016/j.xjon.2024.06.001

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

Machine LearningExtracorporeal Membrane OxygenationNeurological ComplicationsAcute Brain InjuryExtracorporeal Life Support OrganizationAdult: Mechanical Circulatory Support

Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysis

FAIR Checklist

Authors (40)

Funding (4 grants)

Open Access

Topics

Annotations (Europe PMC)