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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2020-08-01
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| Series: | Advances in Laboratory Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/almed-2020-0034 |
| _version_ | 1827916326744621056 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-13T03:12:29Z |
| format | Article |
| id | doaj.art-fb723ebe72394fa395fe2a1219f6b29d |
| institution | Directory Open Access Journal |
| issn | 2628-491X |
| language | English |
| last_indexed | 2024-03-13T03:12:29Z |
| publishDate | 2020-08-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Advances in Laboratory Medicine |
| spelling | doaj.art-fb723ebe72394fa395fe2a1219f6b29d2023-06-26T10:46:03ZengDe GruyterAdvances in Laboratory Medicine2628-491X2020-08-012191610.1515/almed-2020-0034Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine dataMartinez-Sanchez Luisa0Marques-Garcia Fernando1Ozarda Yesim2Blanco Albert3Brouwer Nannette4Canalias Francesca5Cobbaert Christa6Thelen Marc7den Elzen Wendy8Clinical Biochemistry Department, Vall d’Hebron University Hospital, Barcelona, SpainDepartment of Clinical Biochemistry, University Hospital of Salamanca, Salamanca, SpainDepartment of Medical Biochemistry, Uludag University School of Medicine, Bursa, TurkeyClinical Biochemistry Department, Vall d’Hebron University Hospital, Barcelona, SpainDiagnost-IQ, Expert Centre for Clinical Chemistry, Purmerend, The NetherlandsLaboratori de Referència d’Enzimologia Clínica, Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, SpainDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Centre, Leiden, The NetherlandsLaboratory for Clinical Chemistry and Hematology, Amphia, Breda, The NetherlandsDepartment of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Centre, Leiden, The NetherlandsReference 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.https://doi.org/10.1515/almed-2020-0034big dataindirect methodsreference intervals |
| spellingShingle | 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 Advances in Laboratory Medicine big data indirect methods reference intervals |
| 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_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_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_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 |
| topic | big data indirect methods reference intervals |
| url | https://doi.org/10.1515/almed-2020-0034 |
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