Improving Chronic Kidney Disease Diagnosis Using Machine Learning Algorithms

Journal of Science Technology and Research (JSTAR) 6 (1):1-16 (2025)
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Abstract

The application of this system can lead to higher crop yields, sustainable farming practices, and reduced risks associated with poor crop choices. Through rigorous evaluation using standard classification metrics, the model's performance demonstrates its potential to revolutionize farming practices by aiding farmers in making informed decisions. The system has the potential to be an invaluable tool for agricultural consultants, farmers, and policymakers, ensuring long-term sustainability and improved productivity

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