International Journal of Computing, Programming and Database Management

P-ISSN: 2707-6636, E-ISSN: 2707-6644
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2020, Vol. 1, Issue 2, Part A

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


Author(s): Asritha Ravuru

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.

DOI: 10.33545/27076636.2020.v1.i2a.12

Pages: 20-23 | Views: 1549 | Downloads: 1138

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How to cite this article:
Asritha Ravuru. A comparative study of machine learning algorithms to detect the brain tumor. Int J Comput Programming Database Manage 2020;1(2):20-23. DOI: 10.33545/27076636.2020.v1.i2a.12
International Journal of Computing, Programming and Database Management

International Journal of Computing, Programming and Database Management

International Journal of Computing, Programming and Database Management
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