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

Autor: Christa M. Cobbaert, Wendy P. J. den Elzen, Albert Blanco, Luisa Martinez-Sanchez, Nannette Brouwer, Yesim Ozarda, Marc H M Thelen, Francesca Canalias, Fernando Marques-Garcia
Rok vydání: 2020
Předmět:
Zdroj: Advances in Laboratory Medicine, Vol 2, Iss 1, Pp 9-16 (2020)
ISSN: 2628-491X
DOI: 10.1515/almed-2020-0034
Popis: 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.
Databáze: OpenAIRE