PRECISION DIAGNOSTICS FOR CHRONIC KIDNEY DISEASE USING DEEP LEARNING

In summary, our research focused on developing a sturdy model for precise prediction renal illness that is chronic (CKD). Recognizing the shortcomings of conventional machine learning methods, we explored using feature selection and methods for deep learning to streamline complexity and enhance model performance. Our findings demonstrate that when compared to other classifiers, the Artificial Neural Network (ANN) fared better at detecting Chronic Kidney Disease. accuracy. Our efforts culminated in the successful deployment of the CKD detection system as a web application. This implementation effectively demonstrates our capability to determine CKD accurately, offering a vital instrument for early identification and intervention. It underscores the potential of advanced deep learning approaches and underscores the importance of leveraging technology to tackle critical healthcare challenges.

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