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IJSTR >> Volume 2- Issue 10, October 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Artificial Neural Networks In Prevention Of Nosocomials Infections

[Full Text]

 

AUTHOR(S)

Bouharati Saddek, Benamrani Hacen, Alleg Fateh, Benzidane Chara, Bounechada Mustapha

 

KEYWORDS

Index Terms: Nosocomial infections, Bacteria growth, Predictive model, Artificial neural networks.

 

ABSTRACT

Abstract: These In terms of medical safety, the parameters affect nosocomial infections are characterized by their complexity. They become less amenable to direct mathematical modeling based on physical laws since they may be distributed, stochastic, non-linear and time-varying, uncertain, etc. The purpose of our study is to develop a predictive model of prevention these diseases. Like the data involved in the growth bacteria process occur in an uncertain environment due to their complexity, it becomes necessary to have a suitable methodology for the analysis of these variables. The basic principles of artificial neural networks perfectly suited to this process. As input variables, we consider the respiratory metabolism, temperature, water activity, sensitivity, and resistance to antibiotics. The bacterial genus is formulated and applied using MATLAB simulation for the system. The result output variable is the bacterial genus planned. It becomes possible to predict bacterial genus capable to proliferate in these conditions. Therefore, this will take the necessary decisions as a precautionary.

 

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