Diabetes Detection System Using Machine Learning Algorithms |
Author(s): |
| Sunitha B , KGiSL Institute of Technology; Meenakshi.H, KGiSL Institute of Technology; Rajadurai.R, KGiSL Institute of Technology; Vishak.S.P, KGiSL Institute of Technology |
Keywords: |
| Learning, Precision, KNN, SVM, Logistic Regression |
Abstract |
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Diabetes is taken into account together of the deadliest and constant maladies which causes expansion in glucose. It may lead to complications, if it is untreated. In this paper, we propose a system that will perform early prediction of diabetes for a patient with higher accuracy. The standard methods can take up a protracted process and man-process. In this system, we give all the factors which can induce the rise of the blood sugar level of an individual. It will be processed by combining the results of various machine learning techniques. It aims to predict diabetes via various supervised Machine Learning methods including SVM, Logistic regression, Random Forest, KNN, etc... The performances of all the algorithms are evaluated on various measures like Precision, Accuracy, F- Measure, and Recall. |
Other Details |
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Paper ID: IJSRDV8I70231 Published in: Volume : 8, Issue : 7 Publication Date: 01/10/2020 Page(s): 324-325 |
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