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...

Descripción completa

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

Internet

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

Ejemplares similares