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Optimization of anemia treatment in hemodialysis patients via reinforcement learning., , , , , , , , , and 1 other author(s). CoRR, (2015)Optimization of anemia treatment in hemodialysis patients via reinforcement learning., , , , , , , , , and 1 other author(s). Artif. Intell. Medicine, 62 (1): 47-60 (2014)Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients., , , , , , and . Expert Syst. Appl., 40 (11): 4679-4686 (2013)Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis., , , , , , and . ICDM Workshops, page 99-106. IEEE Computer Society, (2012)A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis., , , , , , and . Comput. Biol. Medicine, (2015)Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks., , , , , and . Artif. Intell. Medicine, (2020)Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques., , , , , , , , , and 3 other author(s). Comput. Methods Programs Biomed., 117 (2): 208-217 (2014)Computational intelligence for the Balanced Scorecard: Studying performance trends of hemodialysis clinics., , , , , , , , , and . Artif. Intell. Medicine, 58 (3): 165-173 (2013)Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients., , , , , , , , , and 2 other author(s). Expert Syst. Appl., 39 (10): 8793-8798 (2012)Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis: Prediction of Cardiovascular Events and Feature Selection using a Random Forest Approach., , , , , , and . Int. J. Knowl. Discov. Bioinform., 2 (4): 1-17 (2011)