Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement
Early diagnosis of breast cancer plays a crucial role in treating the patient. Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer. The purpose of this study is breast cancer detection using ensemble classifier base...
Saved in:
Main Authors: | Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Qom
2023-03-01
|
Series: | مدیریت مهندسی و رایانش نرم |
Subjects: | |
Online Access: | https://jemsc.qom.ac.ir/article_1596_fe5b6f445a70d95be07c9d4004656f17.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Ensemble Classifier Selection Method for Software Defect Prediction
by: Xin Dong, et al.
Published: (2025-01-01) -
An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection
by: Digvijay J. Pawar, et al.
Published: (2024-12-01) -
Digital mapping of soil salinity with time-windows features optimization and ensemble learning model
by: Shuaishuai Shi, et al.
Published: (2025-03-01) -
Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers
by: C. Rajathi, et al.
Published: (2025-01-01) -
Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines
by: Prince Waqas Khan, et al.
Published: (2024-01-01)