Abstract
In conclusion, a dozen symptoms that are easy to be clinically verified emerged as risk indicators for chronic kidney disease. This information can contribute to increasing awareness of the diagnosis, mainly in primary care settings. Therefore, healthcare professionals can select patients for more detailed investigation, which will reduce the chance of wasting time and improve early disease detection. •Late diagnosis of chronic kidney disease in children is common, increasing morbidity. •Mass screening of the whole population is not cost-effective. •With two machine-learning methods, this study revealed 12 symptoms to aid early CKD diagnosis. •These symptoms are easily obtainable and can be useful mainly in primary care settings.
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