Neural models for the analysis of kidney disease patients
نویسندگان
چکیده
This work uses Machine Learning techniques and other classical approaches to analyze both physiological variables and treatment characteristics in patients undergoing chronic renal failure. Firstly, the use of Self-Organizing Maps is proposed in order to extract qualitative knowledge. Secondly, the Hemoglobin concentration is predicted one-month ahead by models based on the Multilayer Perceptron; the prediction uses information from two months (the current month and the previous one). Achieved results support the usefulness of these tools in daily clinical practice.
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