Data sampling methods on imbalanced datasets for pneumonia detection in covid-19 patients
Data classification is one of the important aspects in the real-world decision- making support function which can be severely affected by an imbalance class distribution in the training data especially in the medical field. In medical datasets, the data are mainly had imbalanced datasets problem whi...
Saved in:
Main Author: | Dzulkefli, Syasya Farina |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/102725/1/SyasyaFarinaDzulkefliMSKE2022.pdf http://eprints.utm.my/id/eprint/102725/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149741 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of imbalanced datasets using naive bayes
by: Mohd. Sobran, Nur Maisarah
Published: (2011) -
Minimizing Classification Errors in Imbalanced Dataset Using Means of Sampling
by: Khan I., et al.
Published: (2023) -
A multiple input probabilistic classifier for imbalanced dataset problem in semiconductor manufacturing
by: Lim, Chun Chew, et al.
Published: (2011) -
Safe-level SMOTE method for handling the class imbalanced problem in electroencephalography dataset of adult anxious state
by: Sayed Daud, Syarifah Noor Syakiylla, et al.
Published: (2023) -
Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets
by: Amri, A’inur A’fifah, et al.
Published: (2019)