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This work aims to accurately predict Chronic Kidney Disease (CKD) using a robust Artificial Neural Network model and compares its performance to various machine learning algorithms, ultimately achieving an impressive accuracy of 98%, making it a promising tool for CKD diagnosis.
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Feature Description
This work aims to accurately predict Chronic Kidney Disease (CKD) using a robust Artificial Neural Network model and compares its performance to various machine learning algorithms, ultimately achieving an impressive accuracy of 98%, making it a promising tool for CKD diagnosis.
Use Case
for finding kidney disease with most accuracy.
Priority
High
Record