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refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data

Reference intervals are essential for the interpretation of laboratory test results in medicine. We propose a novel indirect approach to estimate reference intervals from real-world data as an alternative to direct methods, which require samples from healthy individuals. The presented refineR algori...

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Detalles Bibliográficos
Autores principales:	Ammer, Tatjana, Schützenmeister, André, Prokosch, Hans-Ulrich, Rauh, Manfred, Rank, Christopher M., Zierk, Jakob
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346497/ https://www.ncbi.nlm.nih.gov/pubmed/34362961 http://dx.doi.org/10.1038/s41598-021-95301-2

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