Diagnosis of Breast Cancer using Decision Tree Data Mining Technique

Cancer is one of the most difficult types of illnesses today, diagnosing the disease in the early stage is still tough for doctors. Genetic profiling plays a fundamental role in discovering environmental risk factors for cancer. a special mixed layered strategy of option tree and cluster is applied to create a most cancers risk assessment scheme. The proposed gadget is an invaluable device that forecasts certain types of cancers and it's worth your serious considerations. This research uses statistical tools such as grouping, clustering and estimation to discover the aptitude of cancer patients. We have suggested this cancer prediction method in our paper based on the information-mining strategy. This computer reports the number of human breast cancers in the immediate future. This gadget is checked to be completed with previous clinical knowledge. The aim of this model is to protect the customers and to make it affordable to the person using it. and a predictive model will aid in physical injury prevention and diagnosis. This research helps detect a person's chances of developing cancer at an early stage of treatment.