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 |
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Rok vydání: | 2020 |
Předmět: |
030213 general clinical medicine
indirect methods Standardization business.industry Big data Medical laboratory Medicine (miscellaneous) Harmonization Data science Education Reference intervals 03 medical and health sciences Medical Laboratory Technology 0302 clinical medicine reference intervals big data 030220 oncology & carcinogenesis Medical technology R855-855.5 Current (fluid) business |
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 |
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