Disease Prediction Using SVM and Machine Learning |
Author(s): |
| Deekshita S , New Horizon College of Engineering; S. Harshita, New Horizon College of Engineering; Divya Balaji, New Horizon College of Engineering; J. Karthiyayini, New Horizon College of Engineering |
Keywords: |
| Disease Prediction, SVM, PCA, Clustering |
Abstract |
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Disease prediction has been a revolutionary achievement as it reduced the risk of late stage diagnosis by a drastic margin. Several traditional methods have been implemented earlier as guessing criterion. But, the advancement in technology has provided the facility to predict diseases that cannot be detected in early stages and are not visible in traditional diagnosis methods. Using software algorithms and tools has made it convenient for patients and researchers to predict and experiment on available recorded datasets for the improvement and achieving an error free disease prediction method. |
Other Details |
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Paper ID: IJSRDV6I30631 Published in: Volume : 6, Issue : 3 Publication Date: 01/06/2018 Page(s): 1157-1160 |
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