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- W2899034548 abstract "Chronic Kidney Disease (CKD) is a condition in which the normal functioning of the kidney is highly affected. A prolonged duration in such case may deteriorate the kidney function or “kidney failure”. So, it is necessary to detect the disease and its different stages the patient may suffer from. Occurring of CKD in some cases may result in complications like anemia, high blood pressure, nerve damage, weak bones, heart, or blood vessel problems, etc. In this manuscript, we have proposed a mechanism that will generate a prediction of CKD with higher accuracy value, followed by the estimation of kidney damage percentage. The main objective of this analysis is to automate a prediction system that will diagnose the different stages in CKD. It starts with the preprocessing steps, ends with the classification, identifies the correctly classified instances, and then calculate its Glomerular Filtration Rate (GFR) value. Hence, it results in estimating the stages in CKD so that the patient may be treated well to avoid the kidney failure and help the patient retain a healthy kidney." @default.
- W2899034548 created "2018-11-09" @default.
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- W2899034548 date "2018-11-04" @default.
- W2899034548 modified "2023-09-27" @default.
- W2899034548 title "An Analysis on Chronic Kidney Disease Prediction System: Cleaning, Preprocessing, and Effective Classification of Data" @default.
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- W2899034548 doi "https://doi.org/10.1007/978-981-10-8639-7_49" @default.
- W2899034548 hasPublicationYear "2018" @default.
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