[HTML][HTML] Modified bat algorithm for feature selection with the wisconsin diagnosis breast cancer (WDBC) dataset

S Jeyasingh, M Veluchamy - Asian Pacific journal of cancer …, 2017 - ncbi.nlm.nih.gov
Early diagnosis of breast cancer is essential to save lives of patients. Usually, medical
datasets include a large variety of data that can lead to confusion during diagnosis. The …

[HTML][HTML] Analysis of decision tree and k-nearest neighbor algorithm in the classification of breast cancer

H Rajaguru, SC SR - Asian Pacific journal of cancer prevention …, 2019 - ncbi.nlm.nih.gov
Objective: The death rate of breast tumour is falling as there is progress in its research area.
However, it is the most common disease among women. It is a great challenge in designing …

[HTML][HTML] Comparison of Bayes classifiers for breast cancer classification

P Thirumalaikolundusubramanian - Asian Pacific journal of …, 2018 - ncbi.nlm.nih.gov
Data analytics play vital roles in diagnosis and treatment in the health care sector. To enable
practitioner decision-making, huge volumes of data should be processed with machine …

Comparing the performance of various supervised machine learning techniques for early detection of breast cancer

MK Abiodun, S Misra, JB Awotunde, S Adewole… - … conference on hybrid …, 2021 - Springer
Cancer is a fatal disease that is constantly changing and affects a vast number of individuals
worldwide. At the research level, much work has gone into the creation and improvement of …

[PDF][PDF] Breast cancer classification using decision tree algorithms

O Tarawneh, M Otair, M Husni… - … Journal of Advanced …, 2022 - researchgate.net
Cancer is a major health issue that affects individuals all over the world. This disease has
claimed the lives of many people, and will continue to do so in the future. Breast cancer has …

[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 …

Breast cancer prediction system

M Kumari, V Singh - Procedia computer science, 2018 - Elsevier
Breast cancer became the major source of mortality between women. The accessibility of
healthcare datasets and data analysis promote the researchers to apply study in extracting …

[HTML][HTML] Insight into breast cancer detection: new hybrid feature selection method

WM Shaban - Neural Computing and Applications, 2023 - Springer
Breast cancer, which is also the leading cause of death among women, is one of the most
common forms of the disease that affects females all over the world. The discovery of breast …

[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 …

[PDF][PDF] Comparative study on different classification techniques for breast cancer dataset

ALS Saabith, E Sundararajan… - Int J Comput Sc Mob …, 2014 - researchgate.net
Breast cancer is one of the most common cancers among women in the world. Early
detection of breast cancer is essential in reducing their life losses. Data mining is the …