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• W3195156655 abstract "The kidney is a vital organ of the body. The function of kidney is to filter the blood in the body. When the kidneys filter blood, urine is made from excess and excess fluid in the body. The kidneys process waste, excess salt, and urea (nitrogenous wastes produced during the body's metabolic processes), regulate body fluids, blood pressure, and blood levels, and also regulate salt levels, maintaining the concentration of sodium, potassium, and phosphorus in the blood cells and minerals such as blood. Kidney failure occurs when the kidneys are not functioning properly. Kidney failure can have a profound effect on body health. Chronic kidney failure is a progressive kidney loss that includes uremia (urea and other nitrogenous residues in the blood) and can be fatal and cause other problems if there is no dialysis or kidney transplantation. An effort to determine the symptoms of kidney failure as early as possible is needed by a decision support system that can make decisions of chronic kidney disease. Large data can be used to explore patterns or knowledge using data mining methods. Machine learning techniques, for example, clustering, classification, and so on, are utilized to discover examples and information connections among an enormous arrangement of components and to manufacture dependable prediction models dependent on information input gave. These machine learning processes are carried out to produce valuable knowledge which will then be implemented into a decision support system application. In the field of health, machine learning has been used for diagnosis and prognosis of disease as well as for predicting the results of medical procedures." @default.
• W3195156655 created "2021-08-30" @default.
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• W3195156655 date "2021-07-30" @default.
• W3195156655 modified "2023-10-12" @default.
• W3195156655 title "Predicting Chronic Kidney Disease Using Machine Learning" @default.
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• W3195156655 doi "https://doi.org/10.1002/9781119792345.ch10" @default.
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