scholarly journals Breast Cancer Prediction and Diagnosis through a New Approach based on Majority Voting Ensemble Classifier

2021 ◽  
Vol 191 ◽  
pp. 481-486
Author(s):  
Mohammed Amine Naji ◽  
Sanaa El Filali ◽  
Meriem Bouhlal ◽  
EL Habib Benlahmar ◽  
Rachida Ait Abdelouhahid ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Ensemble Classifier ◽  
Majority Voting ◽  
New Approach ◽  
Cancer Prediction

scholarly journals Meta-Health Stack: A new approach for breast cancer prediction

2021 ◽  
pp. 100010
Author(s):  
Mina Samieinasab ◽  
S. Ahmad Torabzadeh ◽  
Arman Behnam ◽  
Amir Aghsami ◽  
Fariborz Jolai
Keyword(s):  
Breast Cancer ◽  
New Approach ◽  
Cancer Prediction

A Hybrid of Random Over Sample Examples and Boosted C5.0 Algorithms for Breast Cancer Diagnosis on Imbalanced Data

2020 ◽  
Vol 10 (11) ◽  
pp. 2686-2692
Author(s):  
Jianxue Tian ◽  
Jue Zhang ◽  
Xiaofen Tang ◽  
Ting Dong
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Imbalanced Data ◽  
Breast Cancer Diagnosis ◽  
Clinical Decision ◽  
Ensemble Classifier ◽  
Breast Cancer Dataset ◽  
Cancer Dataset ◽  
Cancer Prediction ◽  
Imbalanced Data Classification

To surmount the two-class imbalanced problem existing in the breast cancer diagnosis, a hybrid method of ROSE sampling approach with Boosted C5.0 ensemble classifier (R-Boosted C5.0) is proposed. ROSE as the sampling method is utilized to balance the class distribution. Boosted C5.0 is then used as the classifier. To serve this purpose, Wisconsin Breast Cancer Dataset (WBCD), Wisconsin Diagnosis Breast Cancer (WDBC) and three imbalanced datasets have been studied. Assessing by Matthews Correlation Coefficient (MCC), the performance of proposed method on WBCD and WDBC datasets were 98.5% and 93.0%, respectively. The experimental results show that the proposed work outperforms in contrast with the rest of the classifiers. It can be used as a clinical decision support system to assist breast cancer prediction. In practice, the proposed methodology can be further applied to class imbalanced data classification.

scholarly journals Breast Cancer Prediction using Decision Tree

2021 ◽  
Vol 1916 (1) ◽  
pp. 012069
Author(s):  
J S Ravi Shankar ◽  
S Nithish ◽  
M Nithish Babu ◽  
R Karthik ◽  
A Shahid Afridi
Keyword(s):  
Breast Cancer ◽  
Decision Tree ◽  
Cancer Prediction

A New Approach to Eliciting Meaning in the Context of Breast Cancer

2003 ◽  
Vol 26 (3) ◽  
pp. 169-178 ◽  
Author(s):  
Lesley F. Degner ◽  
Thomas Hack ◽  
John O’Neil ◽  
Linda J. Kristjanson
Keyword(s):  
Breast Cancer ◽  
New Approach
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