Use of data mining algorithms to estimate reference intervals for laboratory biomarkers – experience report
Keywords:
Reference values, Biomarkers, Laboratory Tests, Clinical Chemistry Tests, Patient safetyAbstract
The clinical laboratory is a protagonist in personalized medicine and healthcare safety. From laboratory analyzes it is possible to make important clinical decisions. The use of reference intervals (RI) appropriate to the population served becomes a priority in laboratory medicine to comply with regulatory standards and the growing demand for greater precision in the interpretation of laboratory analysis results. The laboratory needs to document the criteria, methodology and steps used to determine the IRs. The general objective of this work is to describe the experience in using the main data mining algorithms derived from the laboratory information system to estimate reference intervals of laboratory biomarkers through the indirect method approach proposed in computational tools that apply the Bhattacharya method, Kosmic, refineR and LabRI. This is a descriptive study, of the experience report type, which describes the work developed by the Clinical Pathology/Laboratory Medicine Research Group at the Federal University of Minas Gerais (GPPCML/CNPq). The most recent approaches apply data mining algorithms using computational tools (software) developed in a programming language. Considering the advantages, disadvantages, ease of use of computational tools, application of rigorous criteria for selection and increasingly robust algorithms, it is possible to consider the use of different computational tools that apply the indirect approach proposed by the Bhattacharya, Kosmic, refineR and LabRI methods.
Keywords: Reference values; Biomarkers; Laboratory Tests; Clinical Chemistry Tests; Patient safety.
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