Breast Cancer Severity Degree Predication Using Data Mining Techniques in the Gaza Strip

2018 ◽  
Author(s):  
Mohammed H. Tafish ◽  
Alaa M. El-Halees
Keyword(s):  
Breast Cancer ◽  
Data Mining ◽  
Gaza Strip ◽  
Data Mining Techniques ◽  
The Gaza Strip ◽  
Using Data ◽  
Severity Degree

Breast Cancer Using Data Mining Techniques

2018 ◽  
Vol 6 (7) ◽  
pp. 1531-1536
Author(s):  
Disha Patel ◽  
Bhavesh Tanwala ◽  
Pranay Patel
Keyword(s):  
Breast Cancer ◽  
Data Mining ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals A Study: Breast Cancer Prediction Using Data Mining Techniques

2019 ◽  
Vol 8 (S2) ◽  
pp. 52-56
Author(s):  
B. Gousbi ◽  
A. R. Mohamed Shanavas
Keyword(s):  
Breast Cancer ◽  
Data Mining ◽  
Vital Role ◽  
Data Sets ◽  
Data Mining Techniques ◽  
Cancer Prediction ◽  
Prevention Of Cancer ◽  
Genetic And Environmental Factors ◽  
Using Data ◽  
Potential Cancer

Data mining is the extraction of unseen predictive info from huge databases, is the process of arranging through enormous data sets to recognize patterns and create relationships to resolve the problems through data analysis. Cancer is one of the primary reasons of death wide-reaching. Timely detection and prevention of cancer plays a very vital role in decreasing deaths affected by cancer. Identification of genetic and environmental factors is very significant in emerging novel methods to identify and avert cancer. Many researchers’ use data mining techniques like clustering, classification and prediction find potential cancer patients. This paper focuses on a breast cancer prediction system built on data mining techniques. With the help of this system, people can guess the possibility of the breast cancer in the former stage itself.

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