
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Early Chronic Kidney Disease Identification using ML and DL Methods
Author(s) | K. Manoj kumar |
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Country | India |
Abstract | Chronic diseases are diseases which tend to last for a longer period. And have substantial growth over a period of time. While Chronic kidney disease is one of the chronic diseases it is caused due to gradual loss of kidney functioning over time. Kidney is crucial organ in human body as it filters out waste products and unnecessary fluids through urine. By using glomerular filtration rate Aka GFR a method which measure kidneys ability to filter blood. There are many factors which are contributing to CKD among them diabetes and hypertension plays a significant role. It is observed that Machine learning algorithms such as Random forests and SVM able to classify a person having CKD or not but Deep learning models like vgg16 and deep neural networks have higher accuracy |
Field | Engineering |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-16 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.37870 |
Short DOI | https://doi.org/g8949g |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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