Abstract:
Cancer is one of the mighty diseases in our country. Many people suffer from cancer and
many people died because they don't get treatment at the proper time. If they get a
chance to detect cancer in proper time might be they could alive. In our health care
center have vast amounts of cancer patient’s data. This data plays a vital role in decision
making. The test is the manner by which to separate important learning from this
information and follow up on it in a convenient way. To transform into information,
proficient registering and data mining apparatuses must be utilized. This data can help to
develop an expert system for decision assistance that can assist physicians in diagnosing
and prediction cancer. We are using some algorithm to detect cancer. This research
approach for forming the missing features based on K-NN and the distance function.
This function gave the best accuracy. To seeing this accuracy how much probability has
to suffer in cancer.