• Viren Jadhav
• Vaishali Baste
• Priyanka Andhare
• Anjali Gaurav

Chronic kidney disease(CKD) has become a major issue with a steady growth rate.A person can only survive without kidney for an average time of 18 days, which makes a huge demand for kidney transplant and dialysis. It is estimated that only less than 30 percent of patients suffering from end-stage kidney disease manage to receive dialysis in India. It is important to have effective methods for early prediction of CKD.Earlier detection of the illness followed by treatment could help this dreaded disease at the shore.So earlier prediction is necessary to avoid the disease spread.It is a failure of failure of renal function expanding over a period of months or years.Machine learning methods are effective in CKD prediction.The objective of the project is to detect whether the person is suffering from kidney disease using machine learning technique so that the person can start the treatment as early as possible

Machine Learning, Deep Learning, K nearest neighbor, Support Vector Machine.

"Comparative Analysis of Kidney Disease Prediction Using Machine Learning and Deep Learning.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.170-172, May-2023, Available :http://www.jetir.org/papers/JETIRFX06027.pdf

"Comparative Analysis of Kidney Disease Prediction Using Machine Learning and Deep Learning.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp170-172, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06027.pdf