Background:The measurement of the Erythrocyte Sedimentation Rate (ESR) value is a standard procedure
performed during a typical blood test. In order to formulate a unified standard of establishing reference ESR values,
this paper presents a novel prediction model in which local normal ESR values and corresponding geographical
factors are used to predict reference ESR values using multi-layer feed-forward artificial neural networks (ANN)