Diabetics Prediction Based on Multi-Linear Regression Using R Language
Author : V. Madhubala, P. Porkodi, R. Selvapriya and P.TamilzhchelviVolume 8 No.2 Special Issue:March 2019 pp 17-19
Abstract
Classification is an important technique in data mining which is applied in many fields including medical diagnosis to find diseases. In this research work, the multi-linear regression algorithm is used to find the possibilities of occurrence of diabetes. This research work would help the developers to identify the characteristics and flow of algorithms. This implementation helps the diabetalogist to make decision quickly. The explict outcome of the performance of the algorithm is reported for the chosen data.
Keywords
Multi-Linear Regression, Diabetalogist, Classification
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References
[1] R. Aishwarya, P. Gayathri, and N. Jaisankar, “A Method for Classification Using Machine Learning Technique for Diabetes”,International Journal of Engineering and Technology (IJET) Vol.5, pp. 2903–2908, 2013
[2] [Online] Available at: https://www.ijedr.org/papers/ IJEDR1704226.pdf
[3] [Online] Available at: https://www.mckinsey.com/industries/pharmaceuticals-and-medical-products/our-insights/the-role-of-big-data-in-medicine
[4] [Online] Available at: http://www.sthda.com/english/articles/40-regression-analysis/168-multiple-linear-regression-in-r/
[5] [Online] Available at: http://www.rstudio.om/
[6] [Online] Available at: http://www.datamentor.io/r-programming/
[7] Myers, H. Raymond, and Raymond H. Myers. “Classical and modern regression with applications”, Vol. 2. Belmont, CA: Duxbury Press, 1990. chapter-3.
[8] [Online] Available at: www.kaggle.com.