An Application of Machine Learning in the Criterion Updating of Diagnosis Cancer

As an important branch of Artificial Intelligence, machine learning is bringing in more and more attention in many fields. Machine learning system application in medical diagnose would meet special requirement. In this paper we choose the naive Bayesian learning algorithm approaches to machine learning in medical applications through comparing seven kinds of algorithm and their effects in medical diagnose. The methodology was used in updating criterion of cancers diagnosis problems practically and got better effect. We give part of code which updates weights of cancers diagnosis utilizing Bayesian formula with Microsoft Visual Basic 6.0 as programming tool. The test shows that if we have enough data the results will be better.