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...

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Detalles Bibliográficos
Autores principales: Shih, Chin-Chuan, Lu, Chi-Jie, Chen, Gin-Den, Chang, Chi-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

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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