A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Congestive Heart Failure

BACKGROUND: Machine learning (ML) has been used to build high performance prediction model. Patients with congestive heart failure (CHF) are vulnerable to acute kidney injury (AKI) which makes treatment difficult. We aimed to establish an ML-based prediction model for the early identification of AKI...

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Detalles Bibliográficos
Autores principales: Peng, Xi, Li, Le, Wang, Xinyu, Zhang, Huiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931220/
https://www.ncbi.nlm.nih.gov/pubmed/35310995
http://dx.doi.org/10.3389/fcvm.2022.842873

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931220/
https://www.ncbi.nlm.nih.gov/pubmed/35310995
http://dx.doi.org/10.3389/fcvm.2022.842873

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