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ISSN: 2157-7420

Journal of Health & Medical Informatics
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  • Research Article   
  • J Health Med Inform 2013, Vol 4(2): 125
  • DOI: 10.4172/2157-7420.1000125

Intelligent Information System of Diagnosis and Monitoring Application in the Emergency Medical Aid for Poisonings by Toxic Substances

Abdullayeva Gulchin Gulhuseyn1, Irada Mirzazadeh Khatam2, Naghizade Ulker Rauf3* and Naghiyev Rauf Gasan4
1Institute of Cybernetics, The Azerbaijan National Academy of Sciences, , Azerbaijan
2Institute of Mathematics and Mechanics, The Azerbaijan National Academy of Sciences, , Azerbaijan
3Faculty of Medicine, Azerbaijan Medical University, Azerbaijan
4Ministry of Health of Azerbaijan Republic, , Azerbaijan
*Corresponding Author : Naghizade Ulker Rauf, The Azerbaijan National Academy of Sciences, Ministry of Health of Azerbaijan Republic, Azerbaijan, Email: [email protected]

Received Date: Mar 27, 2013 / Accepted Date: Apr 22, 2013 / Published Date: Apr 27, 2013

Abstract

 According to statistical data, a considerable increase in the number of acute carbon monoxide poisonings has been

observed in Azerbaijan in the last few years. The difficulty of diagnosis is caused by the fact that the same symptoms
and even syndromes may be seen in case of poisonings by different toxic substances. For this reason, the problem
of necessity of performing differential diagnosis becomes urgent. The danger of poisonings is that they can be the
causes of serious pathologies with the passage of time. This article is proposing development of a system carrying out
differential diagnosis and monitoring, based on up-to-date methods of evidence medicine.

Keywords: Differential diagnosis; Monitoring; Evidence medicine; Carbon monoxide; Frame; Production rule; Intelligent system; Neuronal networks

Citation: Gulhuseyn AG, Khatam IM, Rauf NU,Gasan NR (2013) Intelligent Information System of Diagnosis and Monitoring Application in the Emergency Medical Aid for Poisonings by Toxic Substances. J Health Med Informat 4:125. Doi: 10.4172/2157-7420.1000125

Copyright: © 2013 Gulhuseyn AG, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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