Selecting Best Machine Learning Techniques for Breast Cancer Prediction and Diagnosis

2018 ◽  
pp. 565-571
Author(s):  
Youness Khourdifi ◽  
Mohamed Bahaj
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Machine Learning Techniques ◽  
Cancer Prediction ◽  
Learning Techniques

Breast Cancer Prediction in Machine Learning Techniques using Blockchain

2021 ◽  
Author(s):  
R Anand ◽  
D Aneeshsa ◽  
Manisha Srinidhi M ◽  
R.K.V Thanuja
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Machine Learning Techniques ◽  
Cancer Prediction ◽  
Learning Techniques

scholarly journals Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques

2020 ◽  
Vol 1 (5) ◽  
Author(s):  
Md. Milon Islam ◽  
Md. Rezwanul Haque ◽  
Hasib Iqbal ◽  
Md. Munirul Hasan ◽  
Mahmudul Hasan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Comparative Study ◽  
Machine Learning Techniques ◽  
Cancer Prediction ◽  
Learning Techniques

scholarly journals Analysis of Machine Learning Techniques for Breast Cancer Prediction

2021 ◽  
Vol 11 (1) ◽  
pp. 79-83
Author(s):  
Mrs N. Vanitha ◽  
R. Srimathi ◽  
J Haritha
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Indian Women ◽  
Cancer Prediction ◽  
Risk Of Death ◽  
Learning Techniques ◽  
Learning Technique ◽  
Sensitivity Specificity

The most frequently happening cancer among Indian women is breast cancer, which is the second most exposed cancer in the world. Here is a chance of fifty percent for fatality in a case as one of two women diagnosed with breast cancer die in the cases of Indian women.  With the rapid population growth, the risk of death incurred by breast cancer is rising exponentially. [2] Breast cancer is the second most severe cancer among all of the cancers already unveiled. A machine learning technique discovers illness which helps clinical staffs in sickness analysis and offers dependable, powerful, and quick reaction just as diminishes the danger of death. In this paper, we look at five administered AI methods named Support vector machine (SVM), K-closest neighbours, irregular woodlands, fake/ Artificial neural organizations (ANNs). The performance of the study is measured with respect to accuracy, sensitivity, specificity, precision, negative predictive value. Furthermore, these strategies were evaluated on exactness review region under bend and beneficiary working trademark bend. At last in this paper we analysed some of different papers to find how they are predicted and what are all the techniques they were used and finally we study the complete research of machine learning techniques for breast cancer.

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