As the human race is progressing, the diseases which are impacting the humans are also progressing and its deadliest example is COVID-19. With the advancement of technology, Healthcare sector is also deeply influenced by the growth of the Information technology. The disease predictions using data mining as the best example of this case. In medical diagnosis, it is very important to identify most significant risk factors related to disease. Relevant feature identification helps in the removal of unnecessary, redundant attributes from the disease dataset which, in turn, gives quick and better results.Chronic Disease Prediction plays a pivotal role in healthcare informatics. It is crucial to diagnose the disease at an early stage. This paper reviews the various of feature selection-based approaches which can be used for Chronic Kidney Disease Prediction.

Keywords: Chronic Kidney Disease, Feature Selection, Data Mining, Healthcare, Disease Prediction.