Would artificial neural networks implemented in clinical wards help nephrologists in predicting epoetin responsiveness?

BACKGROUND: Due to its strong intra- and inter-individual variability, predicting the ideal erythropoietin dose is a difficult task. The aim of this study was to re-evaluate the impact of the main parameters known to influence the responsiveness to epoetin beta and to test the performance of artific...

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Detalles Bibliográficos
Autores principales: Gabutti, Luca, Lötscher, Nathalie, Bianda, Josephine, Marone, Claudio, Mombelli, Giorgio, Burnier, Michel
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1578551/
https://www.ncbi.nlm.nih.gov/pubmed/16981983
http://dx.doi.org/10.1186/1471-2369-7-13

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1578551/
https://www.ncbi.nlm.nih.gov/pubmed/16981983
http://dx.doi.org/10.1186/1471-2369-7-13

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