Analyze the impact of feature selection techniques in the early prediction of CKD

Background: Chronic renal disease, often known as Chronic Kidney Disease (CKD), is an illness that causes a steady decline in kidney function. As per the World Health Organization survey, the incidence of CKD may increase from 10% to 13% by 2030. Because of the lack of symptoms in the initial phase,...

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出版年:	International Journal of Cognitive Computing in Engineering
主要な著者:	K Hema, K. Meena, Ramaraj Pandian
フォーマット:	論文
言語:	英語
出版事項:	KeAi Communications Co., Ltd. 2024-01-01
主題:	Healthcare Chronic renal disease CKD Data pre-processing Feature selection Machine learning
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2666307423000426