A Comparative Analysis of Machine Learning techniques on Breast Cancer diagnosis using WEKA
Author:
Affiliation:
1. Asian University for Women (AUW),Department of Computer Science,Chattagram,Bangladesh
2. Islamic University,Department of Information and Communication Technology,Kushtia,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054512/10054643/10055421.pdf?arnumber=10055421
Reference20 articles.
1. Disease analysis using machine learning approaches in healthcare system;bhuyan;Health and Technology,2022
2. A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
3. Uci machine learning repository;lichman,2013
4. Interpretable models to predict Breast Cancer
5. A study on weka tool for data preprocessing, classification and clustering;singhal;International Journal of Innovative Technology and Exploring Engineering (IJITEE),2013
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1. BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images;Diagnostics;2023-05-03
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