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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A Random Forest Classifier Approach for Predicting Chronic Kidney Disease |
| Authors Name: | S Vidya , Dr. M. Ganesan , D. Haritha , V. Ragapriya |
| Unique Id: | IJSDR2304081 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Chronic Kidney Disease (CKD) is an international fitness trouble with excessive morbidity, mortality, and different illnesses. Kidney ailment impacts 1 in 10 human beings worldwide. As the quantity of CKD sufferers increases, powerful predictors for early detection of CKD are needed. Therefore, a higher prognosis of persistent kidney ailment is wanted to save you endured progression. Machine learning assist clinicians gain this intention with their rapid and correct prediction capabilities. In this project, we've the usage of Random Forest Algorithm to decide if a person has CKD or Not. The CKD dataset has been taken from the Kaggle repository. This helps in the early detection of persistent kidney ailment. |
| Keywords: | Chronic Kidney Disease, Prediction, Random Forest, CKD, Machine Learning |
| Cite Article: | "A Random Forest Classifier Approach for Predicting Chronic Kidney Disease", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.435 - 440, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304081.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2304081 Registration ID:204068 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 435 - 440 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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