Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
por: Yang, Junshan, et al.
Publicado: (2016) -
A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set
por: Tong, Jiajun, et al.
Publicado: (2022) -
Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data
por: Sun, Yue, et al.
Publicado: (2022) -
Imbalanced dietary intake alters the colonic microbial profile in growing rats
por: Jung, Tae-Hwan, et al.
Publicado: (2021) -
A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data
por: Collell, Guillem, et al.
Publicado: (2018)