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Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives
2021
Computational Intelligence and Neuroscience
Chronic kidney disease (CKD) is a global health issue with a high rate of morbidity and mortality and a high rate of disease progression. Because there are no visible symptoms in the early stages of CKD, patients frequently go unnoticed. The early detection of CKD allows patients to receive timely treatment, slowing the disease's progression. Due to its rapid recognition performance and accuracy, machine learning models can effectively assist physicians in achieving this goal. We propose a
doi:10.1155/2021/3941978
pmid:35003242
pmcid:PMC8739929
fatcat:hsaepfjahrel3ff6h4bojft6by