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Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study
Identifying progressive early chronic kidney disease (CKD) patients at a health checkup is a good opportunity to improve their prognosis. However, it is difficult to identify them using common health tests. This worksite-based cohort study for 7 years in Japan (n = 7465) was conducted to evaluate th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434140/ https://www.ncbi.nlm.nih.gov/pubmed/30911092 http://dx.doi.org/10.1038/s41598-019-41663-7 |