A Method For Predict Chronic Kidney Prediction-Literature Survey
Abstract & Details
Research Area
Computer Science & Engineering
Keywords
Machine Learning
Chronic Kidney Disease
Classification
Accuracy
Logistic Regression
Support Vector Machine
Abstract
63,538 cases of Chronic Kidney Disease (CKD) have been reported in India, according to health statistics. Males are more likely than females to have CKD. Inconveniently, India has been ranked among the top 17 nations for CKD since 2015, which is defined by a progressive decline in excretory organ function. The healthcare industry is one of many global industries that uses machine learning. The kidney plays a crucial role in the human body in absorbing and eliminating all harmful and unnecessary substances, commonly wastes, through the egestion and excretion process. According to the study, there are about a million cases of chronic kidney disease (CKD) in India each year. It endangers the kidneys and causes a slow decline in renal function. However, due of its unexpected nature. The kidney plays a crucial role in absorbing and eliminating all harmful and unnecessary substances from the body.Wastes usually leave the body through digestion and excretion process. It is estimated that there are one million cases of every year from chronic kidney disease (CKD). It is harmful to kidney, which results in a gradual decline of renal function .However, because its symptoms worsen, it is unpredictable .progressively and are not specific to the condition, it is crucial to early detection of CKD is important. wastes and surplus by kidney filtering fluids from the blood that are afterwards eliminated by faeces . In Several signs or symptoms will be present in the early stages of CKD observed.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ann Mariya George | IES College of Engineering Thrissur,kerala,India |
| 2 | Shejina N M | IES College of Engineering Thrissur,kerala,India |
| 3 | Dr.G.Kiruthiga | IES College of Engineering Thrissur,kerala,India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
George, Ann Mariya, M, Shejina N, & Dr.G.Kiruthiga (2022). A Method For Predict Chronic Kidney Prediction-Literature Survey. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 5078-5082.
MLA Style
George, Ann Mariya, et al. "A Method For Predict Chronic Kidney Prediction-Literature Survey." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 5078-5082.
IEEE Style
Ann Mariya George, Shejina N M, and Dr.G.Kiruthiga, "A Method For Predict Chronic Kidney Prediction-Literature Survey," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 5078-5082, 2022.
Vancouver Style
George Ann Mariya, M Shejina N, Dr.G.Kiruthiga. A Method For Predict Chronic Kidney Prediction-Literature Survey. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):5078-5082.
Harvard Style
George, Ann Mariya, M, Shejina N, & Dr.G.Kiruthiga (2022) 'A Method For Predict Chronic Kidney Prediction-Literature Survey', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 5078-5082.
Chicago Style
George, Ann Mariya, Shejina N M, and Dr.G.Kiruthiga. "A Method For Predict Chronic Kidney Prediction-Literature Survey." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5078-5082.
Turabian Style
George, Ann Mariya, Shejina N M, and Dr.G.Kiruthiga. "A Method For Predict Chronic Kidney Prediction-Literature Survey." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5078-5082.
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