Breast Cancer Prediction: A Fusion of Genetic Algorithm, Chemical Reaction Optimization, and Machine Learning Techniques
Breast cancer is currently one of the most prevalent cancers affecting women globally. Uncontrolled growth and division of breast cells lead to the formation of tumors, marking the onset of breast cancer. Predicting breast cancer is essential for early detection, making treatment plans, and implemen...
Saved in:
Main Authors: | Md. Rafiqul Islam, Md. Shahidul Islam, Saikat Majumder |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2024/7221343 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm
by: Rafiqul Islam, et al.
Published: (2024-12-01) -
Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach
by: Shah Mohammad Azam Rishad, et al.
Published: (2025-02-01) -
Animal Models of Diabetic Neuropathy: Progress Since 1960s
by: Md. Shahidul Islam
Published: (2013-01-01) -
A Comparative Study between Time Series and Machine Learning Technique to Predict Dengue Fever in Dhaka City
by: Tanzina Akter, et al.
Published: (2024-01-01) -
An overview of the effects of water and moisture absorption on the performance of hemp fiber and its composites
by: Shahidul Islam, et al.
Published: (2025-01-01)