Feature selection and classification using support vector machine and decision tree

B Durgalakshmi, V Vijayakumar - Computational Intelligence, 2020 - Wiley Online Library
Breast cancer is one of the human threats which cause morbidity and mortality worldwide.
The death rate can be reduced by advanced diagnosis. The objective of this article is to …

[PDF][PDF] A comparative analysis of methods for detecting and diagnosing breast cancer based on data mining

AT Alhasani, H Alkattan, AA Subhi, ESM El-Kenawy… - Methods, 2023 - academia.edu
Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …

Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system

LK Singh, M Khanna, R Singh - Multimedia Tools and Applications, 2024 - Springer
One of the essential data pre-processing methods for enhancing the performance of
machine learning (ML) models is feature selection. Because they choose the most optimal …

[HTML][HTML] Performance Analysis of Data Mining Techniques for the Prediction Breast Cancer Risk on Big Data

S Sohrabei, A Atashi - Frontiers in Health Informatics, 2021 - ijmi.ir
Introduction: Early detection breast cancer Causes it most curable cancer in among other
types of cancer, early detection and accurate examination for breast cancer ensures an …

Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis

A Sharma, PK Mishra - International Journal of Information Technology, 2022 - Springer
Healthcare systems around the world are facing huge challenges in responding to trends of
the rise of chronic diseases. The objective of our research study is the adaptation of Data …

Analysis and prediction of breast cancer through feature selection and classification techniques

E Sivasankar, AS Kumar, J Sanjivi… - … Journal of Medical …, 2021 - inderscienceonline.com
In this modern era, rapid research is being conducted in the field of medical sciences, with
datasets of patients regarding their symptoms and their corresponding disease being readily …

[HTML][HTML] Effective feature engineering and classification of breast cancer diagnosis: a comparative study

E Strelcenia, S Prakoonwit - BioMedInformatics, 2023 - mdpi.com
Breast cancer is among the most common cancers found in women, causing cancer-related
deaths and making it a severe public health issue. Early prediction of breast cancer can …

[PDF][PDF] Feature selection based breast cancer prediction

R Hasan, ASM Shafi - Int J Image Graph Signal Process, 2023 - researchgate.net
Breast cancer is one of the main causes of mortality for women around the world. Such
mortality rate could be reduced if it is possible to diagnose breast cancer at the primary …

Constructive Effect of Ranking Optimal Features Using Random Forest, SupportVector Machine and Naïve Bayes forBreast Cancer Diagnosis

BG Deepa, S Senthil - Big Data Analytics and Intelligence: A …, 2020 - emerald.com
Breast cancer (BC) is one of the leading cancer in the world, BC risk has been there for
women of the middle age also, it is the malignant tumor. However, identifying BC in the early …

[HTML][HTML] Machine learning-based diagnosis of breast cancer utilizing feature optimization technique

KMM Uddin, N Biswas, ST Rikta, SK Dey - Computer Methods and …, 2023 - Elsevier
Breast cancer disease is recognized as one of the leading causes of death in women
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …