Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database

Artificial intelligence is increasingly being adopted in medical fields to predict various outcomes. In particular, chronic kidney disease (CKD) is problematic because it often progresses to end-stage kidney disease. However, the trajectories of kidney function depend on individual patients. In this...

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Detalles Bibliográficos
Autores principales: Inaguma, Daijo, Kitagawa, Akimitsu, Yanagiya, Ryosuke, Koseki, Akira, Iwamori, Toshiya, Kudo, Michiharu, Yuzawa, Yukio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497987/
https://www.ncbi.nlm.nih.gov/pubmed/32941535
http://dx.doi.org/10.1371/journal.pone.0239262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497987/
https://www.ncbi.nlm.nih.gov/pubmed/32941535
http://dx.doi.org/10.1371/journal.pone.0239262

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