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Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease
BACKGROUND AND OBJECTIVES: Chronic kidney disease progression to ESKD is associated with a marked increase in mortality and morbidity. Its progression is highly variable and difficult to predict. METHODS: This is an observational, retrospective, single-centre study. The cohort was patients attending...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965763/ https://www.ncbi.nlm.nih.gov/pubmed/35372378 http://dx.doi.org/10.3389/fmed.2022.837232 |