Machine learning to predict post-operative acute kidney injury stage 3 after heart transplantation

BACKGROUND: Acute kidney injury (AKI) stage 3, one of the most severe complications in patients with heart transplantation (HT), is associated with substantial morbidity and mortality. We aimed to develop a machine learning (ML) model to predict post-transplant AKI stage 3 based on preoperative and...

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Detalles Bibliográficos
Autores principales: Li, Tingyu, Yang, Yuelong, Huang, Jinsong, Chen, Rui, Wu, Yijin, Li, Zhuo, Lin, Guisen, Liu, Hui, Wu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233761/
https://www.ncbi.nlm.nih.gov/pubmed/35752766
http://dx.doi.org/10.1186/s12872-022-02721-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233761/
https://www.ncbi.nlm.nih.gov/pubmed/35752766
http://dx.doi.org/10.1186/s12872-022-02721-7

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