Assessment Of Patient’s Safety

Abstract

Patient safety has become an international priority with major research

programs being carried out. The aim of this research is to assess the concept

of patient safety. Two artificial neural network systems were designed by

using questionnaire for the classification of an idle and non-idle hospital.

After training and testing the systems results were obtained for classification

of data. The Two type of neural networks (Feed Forward Back propagation

and Competitive neural network architecture) were tested for sensitivity,

specificity and accuracy it was found that the Feed Forward Back propagation (FFBP) give more accurate results with an accuracy of 96.37%.