<![CDATA[Cancer is one of the biggest causes of death in the world. Data from the International Agency for Research of Cancer (IARC) states that in 2012 more than 8.2 million people died from cancer. From these data it is known that breast cancer is the most common type of cancer suffered by 19.2% of all cancer cases. The amount of data and records related to cancer patient cases can be useful if from this data an information or new knowledge can be retrieved. Data mining is a field of knowledge that processes past data to be used as new information and knowledge. From the comparative research of data mining algorithms for detection of breast cancer in 2017 naive bayes is the best algorithm. Naive Bayes is proven to have a higher level of accuracy than other algorithms. In this study a decision support system for the detection of breast cancer was made. The system created using this Excel application can be one of the recommendations. The method used for calculation is the probability of naive bayes..Keywords: Naive bayes, Microsoft excell, decission support system]]>
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