A Survey on Medical Data Classification |
Author(s): |
Sharmilla. J , kumaraguru college of technology; Sumathi.V.P, kumaraguru college of technology |
Keywords: |
Data Mining, Medical Data Classification |
Abstract |
Data mining techniques are used on medical data for discovering patterns that are used in diagnosis and decision making. Data mining techniques such as clustering, classification are widely used in healthcare domain. But in this paper, classification of medical data is analyzed, as clustering is highly sensitive to noise and outliers. Data mining algorithms are capable of improving the quality of prediction, diagnosis and disease classification. This paper is about the survey of classifying the medical data using various feature selection and classification method. The missing values in data are handled. The main focus of this paper is to analyze data mining techniques required for medical data mining to discover the diseases such as heart ailments, lung cancer, breast cancer, etc, and to compare the evaluation metrics attained through different techniques for finding locally frequent patterns. |
Other Details |
Paper ID: IJSRDV4I10184 Published in: Volume : 4, Issue : 1 Publication Date: 01/04/2016 Page(s): 828-830 |
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