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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18245
Article Published : 7789
Total Authors : 20583
Total Reviewer : 750
Total Countries : 142
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| Paper Title: | Prediction Of Chronic Kidney Disease Stages And Chronic Kidney Stones Using The SML Technique |
| Authors Name: | Deepa.S , Grace Nesam R , Pavithraa.S , Dr.M.Sumithra |
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IJRTI_185701
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| Published Paper Id: | IJRTI2303094 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | The phrase “chronic kidney disease” refers to kidney damage which is continuous for long time and may get worse over time. The kidney does not function properly if the harm is severe. This is mentioned as End-Stage Renal disease or Kidney failure. Patients with kidney disease may enter the chronic phase which is characterized by a gradual decline in kidney function. For determining whether kidney disease is severe or not, we employ a variety of algorithm in this paper. By predicting the disease’s stages, we are taking it further into consideration if it is severe. Additionally, we focused if a kidney stone will be present or not. In this paper, we also attempt to deploy the modules that we developed to find the appropriate accuracy of the disease. Here, we use Supervised Machine Learning Techniques to predict the accuracies. |
| Keywords: | Kidney stone, CKD, Accuracy, Algorithm |
| Cite Article: | "Prediction Of Chronic Kidney Disease Stages And Chronic Kidney Stones Using The SML Technique", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 3, page no.547 - 549, March-2023, Available :http://www.ijrti.org/papers/IJRTI2303094.pdf |
| Downloads: | 000205020 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2303094
Registration ID:185701
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 547 - 549 Country: Chennai/Chengalpet, TamilNadu, India Research Area: Health Science Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2303094 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2303094 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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