Publication | Open Access
Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
36
Citations
33
References
2020
Year
Reference IntervalsBig Data AcquisitionEngineeringStatistical MethodsData ScienceBusiness IntelligenceReference DataBig Data InfrastructureManagementData QualityData IntegrationRoutine DataNovel Data SourceData ManagementStatisticsSurvey MethodologyBig DataBig Data Model
Reference intervals are commonly used as a decision-making tool. In this review, we provide an overview on "big data" and reference intervals, describing the rationale, current practices including statistical methods, essential prerequisites concerning data quality, including harmonization and standardization, and future perspectives of the indirect determination of reference intervals using routine laboratory data.
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