Predicting Chronic Kidney Disease using Data Mining Techniques

The document discusses a study on predicting chronic kidney disease (CKD) using data mining techniques, emphasizing the importance of early diagnosis and management. It explores the use of Probabilistic Neural Networks (PNN) and other algorithms for accurately determining the severity of CKD, highlighting PNN's superior performance with a classification accuracy of 96.7%. The study also reviews existing literature on various machine learning approaches to CKD detection, reinforcing the significance of data analysis in improving patient outcomes.