Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study

BACKGROUND: Kidney transplantation is the optimal treatment for patients with end-stage renal disease. Short- and long-term kidney graft survival is influenced by a number of donor and recipient factors. Predicting the success of kidney transplantation is important for optimizing kidney allocation....

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Detalles Bibliográficos
Autores principales: Naqvi, Syed Asil Ali, Tennankore, Karthik, Vinson, Amanda, Roy, Patrice C, Abidi, Syed Sibte Raza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433864/
https://www.ncbi.nlm.nih.gov/pubmed/34448704
http://dx.doi.org/10.2196/26843

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433864/
https://www.ncbi.nlm.nih.gov/pubmed/34448704
http://dx.doi.org/10.2196/26843

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