Formulation of effects of atropine, pralidoxime and magnesium sulfate on cardiac tissue levels of nitric oxide, malondialdehyde and glutathione in organophosphate poisoning using artificial neural network
Autor: | Mehmet Tarakcioglu, Abdullah T. Demiryürek, Nurullah Gunay, Ataman Köse, Necla Togun |
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Rok vydání: | 2010 |
Předmět: |
Atropine
Male Insecticides Antidotes Poison control Health Informatics Muscarinic Antagonists Pharmacology Nitric Oxide Organophosphate poisoning Nitric oxide Magnesium Sulfate Random Allocation chemistry.chemical_compound Malondialdehyde medicine ATROPINE/PRALIDOXIME Animals Rats Wistar Pralidoxime Compounds Artificial neural network business.industry Myocardium Poisoning Glutathione medicine.disease Rats Computer Science Applications Anticholinesterase poisoning chemistry Anesthesia Dichlorvos Neural Networks Computer business Anti-Arrhythmia Agents |
Zdroj: | Computers in Biology and Medicine. 40:29-36 |
ISSN: | 0010-4825 |
DOI: | 10.1016/j.compbiomed.2009.10.009 |
Popis: | Anticholinesterase poisoning is an important health problem in our country, and a complete understanding of its underlying mechanisms is essential for the emergency physician. So, this study focused on two purposes. First one was aimed to investigate the biochemical analysis to determine the tissue levels of malondialdehyde (MDA), glutathione and nitric oxide (NO). Secondly, it was planned to model and formulate the effects of some drugs on cardiac tissues levels of NO, MDA and glutathione in acute organophosphate poisoning in rats by the application of neural network based on experimental results. It has been planned to determine whether artificial neural network (ANN) is appropriate tool to analyze and formulate it. As a result, it has been considered that ANN can be effectively used to model NO, MDA and glutathione level. The performances of ANN formulation versus target experimental values are found to be quite high. It is concluded that, proposed NN models are also presented as simple explicit mathematical functions for further use by researchers. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved. |
Databáze: | OpenAIRE |
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