Open AccessDiabetics Prediction Based on Multi-Linear Regression Using R Language
Author(s) -
V. Madhubala,
P. Porkodi,
R. Selvapriya,
P. Tamilzhchelvi
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.s2.2033
Subject(s) - computer science , outcome (game theory) , linear regression , regression , work flow , work (physics) , machine learning , data mining , regression analysis , artificial intelligence , data science , statistics , mathematics , industrial engineering , engineering , mechanical engineering , mathematical economics
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.