Designing A Decision Support System For Weaning Using Ann – A Preliminary Study

Abstract

Patients require mechanical ventilator support when the ventilatory and/or gas exchange capabilities of their own respiratory system fail. Mechanical ventilation can have life threatening complications, it should be discontinued at the earliest possible time. The process of discontinuing mechanical ventilation termed ”weaning” is one of the most challenging problems in intensive care and it account for a considerable proportion of the work load of staff in an ICU. The discontinuation of mechanical ventilation needs to be carefully timed. Premature discontinuation place severe stress on the respiratory and cardiovascular system, which can impede the patient’s recovery. Unnecessary delay in discontinuation can lead to a host of complication. There is a need of research and to develop a standard and accurate approach to the problem. Here is a project proposed, using ANN as a decision supportive system, which will standardize the procedure of predicting weaning decision.

Authors and Affiliations

Kavitha C , Hemalatha K. L

Keywords

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  • EP ID EP161624
  • DOI -
  • Views 126
  • Downloads 0

How To Cite

Kavitha C, Hemalatha K. L (2013). Designing A Decision Support System For Weaning Using Ann – A Preliminary Study. International Journal of Computer Science & Engineering Technology, 4(2), 152-157. https://europub.co.uk/articles/-A-161624