Near-Infrared Spectrophotometric Analysis of Human Blood Glucose: Influence of Repeating Errors on Prediction Accuracy.

The article discusses a study that examines the influence of repeating errors on the results of human blood glucose measurements using the near-infrared spectroscopic method. It states that the performance has been conducted on error removal via the orthogonal subtraction method (EROS) and partial least squares (PLS) to eliminate repeating errors and construct a calibration model. It also notes that repeating errors influence the prediction accuracy of human blood glucose measurement.