Classification and Predication of Breast Cancer Risk Factors Using Id3
Rawaa Abdulridha Kadhim · The International Journal of Engineering and Science · 2016
Breast cancer considered as the first or second cause of death of women each year.There are many risk factors give an indication for the possibility of future cancer development.Therefore, a predictive system depends on risk factors will help in early detection of this disease.Here we used an ID3, by WEKA software, J48 algorithm to build a predictive system of a classifier tree to classify the dataset groups of risk factors according to its priority and gives a future likelihood to develop cancer, the results show that the family history is the most affecting factor in addition to other factors