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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Detalles Bibliográficos
Autores principales: Al-Shamaa, Zina Z. R., Kurnaz, Sefer, Duru, Adil Deniz, Peppa, Nadia, Mirnezami, Alex H., Hamady, Zaed Z. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657693/
https://www.ncbi.nlm.nih.gov/pubmed/33204304
http://dx.doi.org/10.1155/2020/8824625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657693/
https://www.ncbi.nlm.nih.gov/pubmed/33204304
http://dx.doi.org/10.1155/2020/8824625

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