A Kohonen artificial neural network as a DSS model for predicting CAD

A clinical decision support system (DSS) is a computer tool which uses two or more items of data to generate patient or encounter-specific advice. There are a wide variety of DSSs, ranging from simple reminder/alert systems to complex guidelines that model chronic disease management. A major component of DSS is a model base which, in this case, a Kohonen self-organizing network is discussed. This paper presents a Kohonen artificial neural network as a model of DSS for the prediction of risk factor based coronary artery disease (CAD). The system was trained using data generated in real life. The results showed that the proposed method consists of 6 steps computation for training process. The model was successfully implemented and tested success rate of 89.47%. The model can be adopted as a model in DSS, this model assists the patients and doctors in managing CAD with care.