Abstract: As per as the World Health Organization report is concern, about 10% of the world population is affected by chronic kidney disease (CKD), and millions die only because of inappropriate and non-affordable treatment. Kidney disease is a worldwide health crisis in the present scenario. This disease can be curable with early diagnosis and proper treatment. The purpose of this paper is to establish some predictive models using Machine Learning algorithms by taking a real time CKD dataset. In this paper, we have shown some real-time experiments and observations with the help of some Machine Learning algorithms, and also shown a clear picture on the predictive analysis on medical diagnosis of the chronic kidney disease (CKD) using Machine Learning algorithms using which patients may get accurate data so as to diagnose better for their early treatment.

Keywords: Algorithm, Chronic Kidney Disease, Classifier, Machine Learning, Prediction.

PDF | DOI: 10.17148/IJARCCE.2021.101268

Open chat
Chat with IJARCCE