Comparison of learning vector quantization and k-nearest neighbor for prediction of microorganisms associated with septicaemia

This paper describes the application of an artificial neural network technique (Learning Vector Quantization) and a statistical technique (k-nearest neighbor) to predict the most likely microorganism causing septicaemia given a set of measured patient variables. This objective, data-based approach contrasts with a subjective knowledge based system (MYCIN).