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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Autores principales:	Martinez-Sanchez Luisa, Marques-Garcia Fernando, Ozarda Yesim, Blanco Albert, Brouwer Nannette, Canalias Francesca, Cobbaert Christa, Thelen Marc, den Elzen Wendy
Formato:	article
Lenguaje:	EN ES
Publicado:	De Gruyter 2020
Materias:	big data indirect methods reference intervals Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/fb723ebe72394fa395fe2a1219f6b29d
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spelling	oai:doaj.org-article:fb723ebe72394fa395fe2a1219f6b29d2021-12-05T14:10:39ZBig data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data2628-491X10.1515/almed-2020-0034https://doaj.org/article/fb723ebe72394fa395fe2a1219f6b29d2020-08-01T00:00:00Zhttps://doi.org/10.1515/almed-2020-0034https://doaj.org/toc/2628-491XReference 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.Martinez-Sanchez LuisaMarques-Garcia FernandoOzarda YesimBlanco AlbertBrouwer NannetteCanalias FrancescaCobbaert ChristaThelen Marcden Elzen WendyDe Gruyterarticlebig dataindirect methodsreference intervalsMedical technologyR855-855.5ENESAdvances in Laboratory Medicine, Vol 2, Iss 1, Pp 9-16 (2020)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	big data indirect methods reference intervals Medical technology R855-855.5
spellingShingle	big data indirect methods reference intervals Medical technology R855-855.5 Martinez-Sanchez Luisa Marques-Garcia Fernando Ozarda Yesim Blanco Albert Brouwer Nannette Canalias Francesca Cobbaert Christa Thelen Marc den Elzen Wendy Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
description	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.
format	article
author	Martinez-Sanchez Luisa Marques-Garcia Fernando Ozarda Yesim Blanco Albert Brouwer Nannette Canalias Francesca Cobbaert Christa Thelen Marc den Elzen Wendy
author_facet	Martinez-Sanchez Luisa Marques-Garcia Fernando Ozarda Yesim Blanco Albert Brouwer Nannette Canalias Francesca Cobbaert Christa Thelen Marc den Elzen Wendy
author_sort	Martinez-Sanchez Luisa
title	Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
title_short	Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
title_full	Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
title_fullStr	Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
title_full_unstemmed	Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
title_sort	big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/fb723ebe72394fa395fe2a1219f6b29d
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_version_	1718371876919574528

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

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