Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure
| Autor: | Gustavo Camps Valls, Antonio López, José David Martín Guerrero, Juan José Pérez Ruixo, Emilio Soria Olivas, N. Víctor Jiménez Torres |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test Anemia Secondary anemia business.industry medicine.medical_treatment Health Informatics medicine.disease Recombinant Proteins Computer Science Applications Therapeutic drug monitoring Erythropoietin medicine Quality of Life Chronic renal failure Humans Kidney Failure Chronic In patient Hemodialysis Neural Networks Computer Intensive care medicine business medicine.drug |
| Zdroj: | Computers in biology and medicine. 33(4) |
| ISSN: | 0010-4825 |
| Popis: | The external administration of recombinant human erythropoietin is the chosen treatment for those patients with secondary anemia due to chronic renal failure undergoing periodic hemodialysis. The goal is to carry out an individualised prediction of the erythropoietin dosage to be administered. It is justified because of the high cost of this medication, its secondary effects and the phenomenon of potential resistance which some individuals suffer. One hundred and ten patients were included in this study and several factors were collected in order to develop the neural models. Since the results obtained were excellent, an easy-to-use decision-aid computer application was implemented. |
| Databáze: | OpenAIRE |
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