Diabetics Prediction Based on Multi-Linear Regression Using R Language

V. Madhubala; P. Porkodi; R. Selvapriya; P. Tamilzhchelvi

doi:10.51983/ajcst-2019.8.S2.2033

Authors

V. Madhubala PG Student, Department of Computer Science, Ayya Nadar Janaki Ammal College, Sivakasi, India
P. Porkodi PG Student, Department of Computer Science, Ayya Nadar Janaki Ammal College, Sivakasi, India
R. Selvapriya PG Student, Department of Computer Science, Ayya Nadar Janaki Ammal College, Sivakasi, India
P. Tamilzhchelvi Associate Professor, Department of Computer Science, Ayya Nadar Janaki Ammal College, Sivakasi, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.S2.2033

Keywords:

Multi-Linear Regression, Diabetalogist, Classification

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.

References

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.

[Online] Available: https://www.ijedr.org/papers/IJEDR1704226.pdf.

[Online] Available: https://www.mckinsey.com/industries/pharmaceuticals-and-medical-products/our-insights/the-role-of-big-data-in-medicine.

[Online] Available: http://www.sthda.com/english/articles/40-regression-analysis/168-multiple-linear-regression-in-r/.

[Online] Available: http://www.rstudio.com/.

[Online] Available: http://www.datamentor.io/r-programming/.

H. Raymond Myers and Raymond H. Myers, "Classical and modern regression with applications," vol. 2, Belmont, CA: Duxbury Press, 1990, chapter-3.

[Online] Available: www.kaggle.com.