Outlier detection in medical data using linguistic summaries

Abstract

The main purpose of outlier detection algorithms is to find a new feature that is distinct from the other features of the vector in the analyzed data set. This paper concerns outlier detection in medical databases, and the supervised and unsupervised methods used in detection of outliers in medical data are discussed. Moreover, the author's original method for detecting outliers based on linguistic summaries is presented.