A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis-Reference-Cited by-同舟云学术

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis

Published:2015-06 Issue: Volume:61 Page:56-61
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Barbieri Carlo,Mari Flavio,Stopper Andrea,Gatti Emanuele,Escandell-Montero Pablo^ORCID,Martínez-Martínez José M.,Martín-Guerrero José D.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference27 articles.

1. Anemia in renal disease;Lankhorst;Blood Rev.,2010

2. Red blood cell survival in chronic renal failure;Ly;Am. J. Kidney Dis.: Official J. Natl. Kidney Found.,2004

3. Erythropoietins: a common mechanism of action;Elliott;Exp. Hematol.,2008

4. Treatment of anemia in chronic kidney disease: known, unknown, and both;Foley;J. Blood Med.,2011

5. Turning cells red: signal transduction mediated by erythropoietin;Richmond;Trends Cell Biol.,2005

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