Title |
Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD) / Francesco Bellocchio, Caterina Lonati, Jasmine Ion Titapiccolo, Jennifer Nadal, Heike Meiselbach, Matthias Schmid, Barbara Baerthlein, Ulrich Tschulena, Markus Schneider, Ulla T. Schultheiss, Carlo Barbieri, Christoph Moore, Sonja Steppan, Kai-Uwe Eckardt, Stefano Stuard, Luca Neri |
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Involved |
Francesco Bellocchio (Verfasser)
Caterina Lonati (Verfasser) Jasmine Ion Titapiccolo (Verfasser) Jennifer Nadal (Verfasser)
Heike Meiselbach (Verfasser)
Matthias Schmid (Verfasser) Barbara Baerthlein (Verfasser) Ulrich Tschulena (Verfasser) Markus Schneider (Verfasser) Ulla Teresa Schultheiß (Verfasser) Carlo Barbieri (Verfasser) Christoph Moore (Verfasser) Sonja Steppan (Verfasser) Kai-Uwe Eckardt (Verfasser) Stefano Stuard (Verfasser) Luca Neri (Verfasser) |
Published |
Erlangen: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
Extent |
Online-Ressource |
Language |
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Country |
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Topic |
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Subject |
chronic kidney disease (CKD)
end-stage kidney disease (ESKD) kidney replacement therapy (KRT) risk prediction
artificial intelligence
machine learning naïve Bayes classifiers precision medicine |
DDC notation |
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Persistent identifier |
urn:nbn:de:bvb:29-opus4-177651 (URN) |
Further information |
In: International Journal of Environmental Research and Public Health 18.23 (2021): 12649. <https://www.mdpi.com/1660-4601/18/23/12649> |
Record ID |
1247263584 |
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