A comparative study of machine learning algorithms to detect the brain tumor

Abstract

Now a day’s brain tumor is very daunting and terrible problem in the society, often causing death. We can save a patient, if she/he is in early stage. There is abundant set of hidden information which is stored in the health care sector, with appropriate use of accurate data mining techniques in medical field, we can extract the patterns. The techniques of machine learning held a significant stand. This prediction can be done very efficiently using ML. By utilizing the machine learning techniques like Logistic regression, Decision tree, Random forest, MLP classifier, Naive Bayes, SVM, K-nearest neighbor identifies significant relations and patterns from the data can be extracted, from which disease can be predicted for a patient.