%0 Journal Article %1 journals/cbm/BarbieriMSGEMM15 %A Barbieri, Carlo %A Mari, Flavio %A Stopper, Andrea %A Gatti, Emanuele %A Escandell-Montero, Pablo %A Martínez-Martínez, José María %A Martín-Guerrero, José David %D 2015 %J Comput. Biol. Medicine %K dblp %P 56-61 %T A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis. %U http://dblp.uni-trier.de/db/journals/cbm/cbm61.html#BarbieriMSGEMM15 %V 61

@article{journals/cbm/BarbieriMSGEMM15, added-at = {2020-10-26T00:00:00.000+0100}, author = {Barbieri, Carlo and Mari, Flavio and Stopper, Andrea and Gatti, Emanuele and Escandell-Montero, Pablo and Martínez-Martínez, José María and Martín-Guerrero, José David}, biburl = {https://www.bibsonomy.org/bibtex/20e79e241ab51661ba17c077f12349dc2/dblp}, ee = {https://www.wikidata.org/entity/Q41087494}, interhash = {198802f05d30e8fb6b20337da4e5cd74}, intrahash = {0e79e241ab51661ba17c077f12349dc2}, journal = {Comput. Biol. Medicine}, keywords = {dblp}, pages = {56-61}, timestamp = {2020-10-27T12:44:05.000+0100}, title = {A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.}, url = {http://dblp.uni-trier.de/db/journals/cbm/cbm61.html#BarbieriMSGEMM15}, volume = 61, year = 2015 }