sumitrajgce

Presented and Published research paper entitled on “Detection of Chronic Kidney Disease Using Artificial Neural Network” submitted to International Conference on Recent Advancements in Management Science Technology Education & legal Issues(ICRAMSTEL- 2019) which was held on 30-31 March 2019 has been accepted for publication in International Journal of Applied Engineering & Research (UGC & Scopus indexed). Abstract- Disease classification/detection is a crucial and challenging problem, because it helps in early diagnosis of disease by supporting the pathologists and doctors in their decision. Machine Learning technique is one of the emerging field can be used in the health sectors for the diagnosis of different diseases. This paper presents an effective approach for the diagnosis of chronic kidney disease (CKD) using artificial neural network (ANN) with back propagation algorithm, where first we fill the missing values of the dataset using mean, mode and median of attributes. Further, we have trained the NN classifier and evaluate the detection performances on separate test dataset. From the comparative analysis with other variants of classifiers like SVM, K-NN, Classification and Regression tree it is found that the recognition accuracy of ANN is significantly encouraging. link :- https://www.ripublication.com/Volume/ijaerv14n10spl.htm