This article discusses a new approach to forecasting patient ailments by utilizing sophisticated medical data classification methods. The study focuses on Chronic Kidney Disease (CKD) and uses a dataset from the UCI machine learning repository. The results show that the proposed technique achieves a high level of accuracy, surpassing existing classifier models.
