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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 : 11
Issue Published : 118
Article Submitted : 21504
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | CHRONIC KIDNEY DISEASE METHODOLOGY BY USING MACHINE LEARNING |
| Authors Name: | B.Sasi Varna , G.pravallika , Dr.A.Althaf Ali |
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| Author Reg. ID: |
IJRTI_182299
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| Published Paper Id: | IJRTi2206037 |
| Published In: | Volume 7 Issue 6, June-2022 |
| DOI: | |
| Abstract: | Chronic kidney disease (CKD) is a global health issue that causes a high incidence of morbidity and death, as well as the onset of additional illnesses. Because there are no clear symptoms in the early stages of CKD, people frequently miss it. Early identification of CKD allows patients to obtain prompt therapy to slow the disease's development. Due of their rapid and precise identification capabilities, machine learning models can successfully assist doctors in achieving this aim. We present a machine learning framework for diagnosing CKD in this paper. The CKD data set was collected from the machine learning repository at the University of California, Irvine (UCI). As a result, it will determine whether or not a patient has CKD and, if so, whether or not further drugs should be taken. Six machine learning algorithms (Logistic Regression, AdaBoost, Random Forest, Decision Tree, and Gradient Boosting) were used to establish models. |
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| Cite Article: | "CHRONIC KIDNEY DISEASE METHODOLOGY BY USING MACHINE LEARNING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.207 - 216, June-2022, Available :http://www.ijrti.org/papers/IJRTi2206037.pdf |
| Downloads: | 000205290 |
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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: IJRTi2206037
Registration ID:182299
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 207 - 216 Country: annamayya district, Andhra pradesh, India Research Area: Master of Computer Application Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTi2206037 Published Paper PDF: https://www.ijrti.org/papers/IJRTi2206037 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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