Using (Rapid Miner) in Breast Cancer Data Analysis in Sudan: A Case Study of Al-Dora Hospital – Khartoum (2010-2021)

Abstract

The research aims to use statistical methods in (Rapid Miner) programs to extract statistical results and determine the incidence of the disease and the age groups most vulnerable to this disease through the process of excavating patient data and knowing the most affected ages for early preventive examinations of the disease. Careful analysis of a large amount of data available for a number of years and the use of statistical methods that help in making decisions that help in knowing the rates of disease prevalence in the future and providing the necessary data that helps guides and advice on the best ways to avoid the spread of breast cancer. The research follows the analytical and experimental descriptive approach, where data and information related to monitoring records are collected, prepared, classified and tabulated, and then displayed and analyzed, and the results were reached through the use of statistical methods in the (Rapid Miner) program. The Blue Nile State has the least infection with 45 infections, and the tribes with the most prevalence of the disease have 1025 infections, and the least is the Barqawi tribe with 1 infection.