Diagnosing Chronic Kidney Disease using KNN Algorithm
The proposed solution for diagnosing chronic kidney disease uses a Machine learning methodology i.e. KNN algorithm which was utilized to fill in the missing qualities. Missing qualities are generally found, all things considered, clinical circumstances since patients may miss a few estimations for different reasons. By breaking down the misjudgments produced by the set up models, we proposed an incorporated model that consolidates calculated relapse which could accomplish a normal exactness of 99.83% after multiple times of re enactment.
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)