The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets

Imbalanced class distribution in the medical dataset is a challenging task that hinders classifying disease correctly. It emerges when the number of healthy class instances being much larger than the disease class instances. To solve this problem, we proposed undersampling the healthy class instance...

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Detalhes bibliográficos
Publicado no:Appl Bionics Biomech
Main Authors: Al-Shamaa, Zina Z. R., Kurnaz, Sefer, Duru, Adil Deniz, Peppa, Nadia, Mirnezami, Alex H., Hamady, Zaed Z. R.
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7657693/
https://ncbi.nlm.nih.gov/pubmed/33204304
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/8824625
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