• A T Gayathri
• S T Deepa

Breast cancer is most common cancer among women at the present world. The reasons that cause this disease are many and cannot be extracted easily. Further, the process to determine stage of the cancer for a particular patient requires great effort from the doctors. Diagnosis at the early stage is at most important to save the life of the human. Moreover, diagnosing manually takes more amount of time and hence there is a necessity for developing an automated system for early diagnosis. Contribution of Machine learning algorithms for development of such system is lot. In this paper, the objective is to diagnose breast cancer stages of the patient using Naive Bayes algorithm. The dataset used for analysing the performance of the system is taken from UCI repository. This technique helps the physician to take better decision for the breast cancer patient. At last Confusion matrix is used to determine the accurate performance of Naive Bayes Algorithm.

Breast Cancer, Naive Bayes Algorithm, Stages, Healthcare Management, Public Health, DataMining.

"Interactive Breast Cancer Prediction Using Naive Bayes Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.556-564, June 2019, Available :http://www.jetir.org/papers/JETIR1907H82.pdf

"Interactive Breast Cancer Prediction Using Naive Bayes Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp556-564, June 2019, Available at : http://www.jetir.org/papers/JETIR1907H82.pdf