Problem Definition and the Data
Explore how to frame the problem of predicting chronic kidney disease through machine learning by analyzing clinical datasets with numerical and nominal features. Understand the challenge of early detection and learn to build models that minimize false positives and negatives, using features like blood pressure, glucose levels, and more.
Overview
Chronic Kidney Disease (CKD) is one of the leading causes of death around the globe and costs a significant amount of money to the global health care system. One of the major challenges of CKD is that it usually doesn’t show symptoms and can damage kidneys silently. People with early kidney disease may not know anything is wrong. They can’t feel the damage before any kidney function is lost. It happens slowly and in stages. Early detection with the ...