Food Recommendation using Machine Learning for Chronic Kidney Disease Patients

Chronic Kidney Disease (CKD, also known as the Chronicrenal disease) is a communal problem to the public with an escalating in either technologically advanced or advancing countries. 10% of the populations internationally are diagnosed with the disease of chronic kidney disease (CKD), and many deaths each day because of poor access to proper treatment or absence of awareness. If necessary, precaution is not taken at the right time the treatment gets complicated and possibly reach the final stage. Thus, to provide a better dietary solution our paper proposes a model to basis of their potassium level in blood. Classification of the patients is implemented recommend food for patients suffering from kidney disease on the using WEKA and then further using query-based matching we recommended food for the identified levels based on the seriousness of the disease.