Chronic Kidney Disease Prediction using K-Means Algorithm |
Author(s): |
| D Charan , kmm institute of pg studies; Mr. G. Ananthanath, kmm institute of pg studies |
Keywords: |
| Chronic Kidney Disease, K Means Algorithm, Logistic Regression, Support Vector Machine |
Abstract |
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The procedure of finding hidden and unidentified patterns and trends in big datasets, extracting information from them and building predictive models is defined as data mining. In other word, it’s the process of the collection and exploration of data sets and building models by huge data stores to expose previously unknown outlines. Healthcare management is one of the areas which is using machine learning techniques broadly for different obejectives. Chronic kindney disease is agrowing disease in recent years and many researches are being done to predict its progression and classify the datasets based on related features. In this paper, we focus on applying different machine learning classification algorithm to a dataset with 400 observations and 24 attributes for diagnosis tree, linear regression, super vector machine and neural network. |
Other Details |
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Paper ID: IJSRDV7I11083 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 1860-1862 |
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