Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data

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 stand...

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Bibliographic Details
Published inAdvances in Laboratory Medicine / Avances en Medicina de Laboratorio Vol. 2; no. 1; pp. 9 - 16
Main Authors Martinez-Sanchez, Luisa, Marques-Garcia, Fernando, Ozarda, Yesim, Blanco, Albert, Brouwer, Nannette, Canalias, Francesca, Cobbaert, Christa, Thelen, Marc, den Elzen, Wendy
Format Journal Article
LanguageEnglish
Published Germany De Gruyter 01.03.2021
Subjects
big data
indirect methods
reference intervals
big data
indirect methods
reference intervals
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:2628-491X
2628-491X
DOI:10.1515/almed-2020-0034