Prediction Of Chronic Kidney Disease Using Machine Learning Techniques

• Author(s):

  Prabakaran G | Harshini S | Shalini D | Sharumathi K | Sowmiya S

• Keywords:

  Chronic Kidney Disease, Machine Learning

• Abstract:

  More Persons With Advanced Stages Of Renal Illness Are Diagnosed Each Year.Deteriorating Kidney Function Over Time Is A Hallmark Of Chronic Kidney Disease, Also Known As Renal Disease. People Are More Likely To Be Examined For Chronic Kidney Disease (CKD) If They Have Diabetes, High Blood Pressure, Or A Family History Of The Illness. An Early Diagnosis Is Essential For Successful Therapy. In Order To Avoid Kidney Damage Or Failure, Early Detection And Monitoring Are Essential. Healthcare Organizations Can Effectively Use Machine Learning (ML) To Support Their Decision- Making Process. The Goal Of This Project Is To Create And Suggest A Machine Learning Approach For Chronic Kidney Disease Prediction. The Random Forest (RF) Algorithm Was Our Suggestion. To Determine The Optimal Model For Prediction, The Components Are Constructed Using Datasets Related To Chronic Renal Disease And Compared.

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Other Details

• Paper id:

  IJSARTV11I5103567

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-15

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