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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 : 21544
Article Published : 8519
Total Authors : 22414
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Prediction of Kidney Disease using Ensemble learning techniques |
| Authors Name: | Shaik Nazreen , Gorle Venkata Sai Joshna , Gandi Mahesh , Kesamchetti Khyathi Lekha , Bhanu Prakash Doppala |
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| Author Reg. ID: |
IJRTI_183447
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| Published Paper Id: | IJRTI2208125 |
| Published In: | Volume 7 Issue 8, August-2022 |
| DOI: | |
| Abstract: | Chronic renal disease also known as chronic kidney disease, is slowly increasing as a disease with high mortality rate. A person can manage to survive for 18 days without kidneys and being affected by kidney related diseases that can be cured only by kidney transplants and dialysis. It is critical to have good strategies for predicting CKD early on. Machine learning algorithms are useful for predicting CKD. By collection of various clinical data that includes preparation of data, a mechanism to manage missing values, selection of attributes and collaborative filtering, a strategy is presented through this paper. This takes into account the practical elements of data gathering and emphasises the necessity of domain knowledge when applying prediction of CKD status by machine learning and using 26 characteristics and data from CKD patients.Hence,in this proposed system we use ensemble learning techniques to predict the CKD with better accuracy. |
| Keywords: | Key words: CKD, Bagging, Logistic Regression, Decision Tree, SVM. |
| Cite Article: | "Prediction of Kidney Disease using Ensemble learning techniques ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.716 - 722, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208125.pdf |
| Downloads: | 000205310 |
| 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: IJRTI2208125
Registration ID:183447
Published In: Volume 7 Issue 8, August-2022
DOI (Digital Object Identifier):
Page No: 716 - 722 Country: Visakhapatnam , Andhra Pradesh , India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2208125 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2208125 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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