ARTIFICIAL INTELLIGENCE IN CHRONIC KIDNEY DISEASE USING DEEP LEARNING

Electronics & Communication Engineering

Chronic Kidney Disease (CKD) is a long-term medical condition that affects the kidneys’ ability to filter blood. Early detection is essential because CKD often shows symptoms only in the later stages. In this project, Artificial Intelligence (AI) and Deep Learning techniques are used to predict CKD from medical data and reports. A deep learning model is trained using patient laboratory parameters such as blood pressure, serum creatinine, albumin level, hemoglobin, and other clinical features. The model identifies hidden patterns in the data and classifies whether a patient is CKD positive or negative. The proposed system aims to support medical professionals by providing fast and accurate predictions. The results show that the model provides high accuracy, making it a useful tool for early CKD detection

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