*Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, Uttar Pradesh, India, Email id: ajay.rana@shobhituniversity.ac.in
**School of Computer Science and Engineering, Meerut, Uttar Pradesh, India, Email id: rajesh@shobhituniversity.ac.in
Online Published on 03 January, 2022.
This paper looks at the current practices and future possibilities of using data mining methods to classify medical data. It focuses on the most important advanced classification methods for improving classification accuracy. Previous research has produced literature on the categorization of medical data using data mining methods. Data mining methods are highly successful for the job of categorization, according to substantial literature research. This study compared and contrasted the present state of medical data categorization. The study's results revealed that the current categorization of medical data might be enhanced further. Nonetheless, additional study is needed to determine and eliminate ambiguities in categorization in order to improve accuracy.
Bayesian Network, Decision Tree, Diagnosis, Multilayer Perceptron, Support Vector Machine