Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques
Different prediction algorithms were used to predict Hb levels in CRF patients. Prediction errors in the validation cohorts of patients were around 0.6g/dl. Difficulty to obtain lower errors due to the measuring machine precision (0.2g/dl). Relevance analysis of features have been applied for each predictor.
prediction hemoglobin hemodialysis machine learning chronic renal failure