A Robust Ensemble Learning Framework for Breast Tumor Classification  and Early Detection

Dr. Parbhakar Singh, Dr. Ajay Sharma, Dr. Ashish Jolly, Dr. Shakti Kumar, Gayatri  Kumari, Dr. Deepak Chandra Uprety, Dr. Deepak Dagar, Dr.Sanjeev Kumar

A Robust Ensemble Learning Framework for Breast Tumor Classification and Early Detection

Authors

Dr. Parbhakar Singh, Dr. Ajay Sharma, Dr. Ashish Jolly, Dr. Shakti Kumar, Gayatri Kumari, Dr. Deepak Chandra Uprety, Dr. Deepak Dagar, Dr.Sanjeev Kumar

Keywords:

Breast Disease Classification, Machine Learning, Decision Tree, NB, AdaBoost, Ensemble learning

Abstract

Breast tumour, marked by the uncontrolled proliferation of breast cells, presents in variousforms, most notably infiltrative ductal carcinoma and infiltrative lobular carcinoma both capable ofmetastasis. With the rise of artificial intelligence i

References

Elveren E, Yumusak N., “Tuberculosis disease diagnosis using artificial neural network trained with genetic algorithm”, Journal of Medical Systems, 2011; 35(3):329–32.

Sellappan Palaniappan et al., “Intelligent heart disease prediction on system using data mining techniques”, IJCSNS Vol 8 no 8(Aug2008)

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Published

2024-11-15

How to Cite

Dr. Parbhakar Singh, Dr. Ajay Sharma, Dr. Ashish Jolly, Dr. Shakti Kumar, Gayatri Kumari, Dr. Deepak Chandra Uprety, Dr. Deepak Dagar, Dr.Sanjeev Kumar. (2024). A Robust Ensemble Learning Framework for Breast Tumor Classification and Early Detection . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 4843–4850. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2989