Date of Publication :9th September 2017

Abstract: Health Care professionals face the complex task of predicting the type of cancer in patient. This earlier prediction of cancer helps to the practitioner to recommend cancer treatment. Various studies have been carried out that examine patient to improve help practitioner’s prognostic accuracy. Here we worked on major factor that is symptoms. In this thesis paper we have used Naïve Bayes Classification algorithm of data mining to predict the type of cancer. Proposed method of risk prediction aims to predict probability of cancer. Based on the classification algorithm, symptoms of the cancer are classified using Navie Bayes algorithm to recognize the risk of cancer such as lung, breast, ovarian, stomach and oral. Therefore accurate prediction of cancer in patient is important for good clinical decision making in health care strategies.

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