Prediction of Drug by Side Effects Analysis using Data Mining |
Author(s): |
| Karthik. S , SRM INSTITUTE OF SCIENCE AND TECHNOLOGY; Karthikayani, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY; Manigandan, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY; Dhanush. K, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY |
Keywords: |
| Data Mining, Machine Learning, Support Vector Machine, Kernel Trick approach, K-Means, Medical |
Abstract |
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The main objective of this paper is to predict a suitable drug for the patient based on his/her side effects. We focus on the fact that, the drug should not aggregate the patient's pre suffering side effect. Thus through a hybrid machine learning technique, we classify and cluster the drug from the data sets and prescribe the patient with a suitable drug. The presented approach utilizes the perspective of data analytics to investigate the effect of drug distribution in the feature space, categorize side effects into several intervals, adopt suitable strategies for each interval and construct suitable data models accordingly. In this paper, we have proposed Support Vector Machine algorithm and K-Means clustering to achieve the desired results. |
Other Details |
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Paper ID: IJSRDV6I20390 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 385-387 |
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