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Hemoglobin Level Analysis in Hemodialysis Patients Treated With Erythropoiesis Stimulating Agents: A Neural Network Approach
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Author(s): J. D. Martín (University of Valencia, Spain), Emilio Soria (University of Valencia, Spain), A. Soldevila (Hospital La Fe, Spain), M. Climente (University of Valencia, Spain), L. M. Pallardó (University of Valencia, Spain)and Nicolás Victor Jiménez (University of Valencia, Spain)
Copyright: 2010
Pages: 20
Source title:
Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications
Source Author(s)/Editor(s): Anupam Shukla (ABV – Indian Institute of Information, India)and Ritu Tiwari (ABV – Indian Institute of Information, India)
DOI: 10.4018/978-1-61520-977-4.ch007
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Abstract
In this chapter authors try to develop an expert system with the help of neural network method like Organizing Maps (SOMs) for hemodialysis patient. Neural network models play a very important role for data analysis of hemodialysis patients with end-stage renal disease. There are two main goals: firstly, the knowledge extraction from a database using Self-Organizing Maps (SOMs); and secondly, to provide an accurate prediction of Hb levels next month.
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