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Risk Prediction for Early Chronic Kidney Disease: Results from an Adult Health Examination Program of 19,270 Individuals
Developing effective risk prediction models is a cost-effective approach to predicting complications of chronic kidney disease (CKD) and mortality rates; however, there is inadequate evidence to support screening for CKD. In this study, four data mining algorithms, including a classification and reg...
Autores principales: | Shih, Chin-Chuan, Lu, Chi-Jie, Chen, Gin-Den, Chang, Chi-Chang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399976/ https://www.ncbi.nlm.nih.gov/pubmed/32664271 http://dx.doi.org/10.3390/ijerph17144973 |
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