Comparison between Statistical Models and Machine Learning Methods on Classification for Highly Imbalanced Multiclass Kidney Data

This study aims to compare the classification performance of statistical models on highly imbalanced kidney data. The health examination cohort database provided by the National Health Insurance Service in Korea is utilized to build models with various machine learning methods. The glomerular filtra...

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Detalles Bibliográficos
Autores principales: Jeong, Bomi, Cho, Hyunjeong, Kim, Jieun, Kwon, Soon Kil, Hong, SeungWoo, Lee, ChangSik, Kim, TaeYeon, Park, Man Sik, Hong, Seoksu, Heo, Tae-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345590/
https://www.ncbi.nlm.nih.gov/pubmed/32570782
http://dx.doi.org/10.3390/diagnostics10060415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345590/
https://www.ncbi.nlm.nih.gov/pubmed/32570782
http://dx.doi.org/10.3390/diagnostics10060415

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