Comprehensive Analysis of State-of-the-Art CAD Tools and Techniques for Chronic Kidney Disease (CKD)

Mynapati Prasudha, Rakesh Kasumolla, Deepak Sukheja

OAI: oai:igi-global.com:287605 • DOI: 10.4018/IJBDAH.287605

It has been seen that in the last one decade, AI/ML/DL has been considered a core research area in healthcare as we know that kidney is one among the important internal body organs helps in regulation of the fluid within the body such that it relieves the body from the existence of the waste in the body. it is difficult to detect early on by normal clinical process. Many researchers have focused their work to identify the kidney disease or classify the kidney disease using computational technology because of the mortality rate is very high in kidney patients. Primary focus of this paper is review the current research work based on computational advancement in the area of kidney disease and also identify the gaps or future scope to identify and predict the kidney disease at earlier stage.