This paper is in the following e-collection/theme issue:

Precision Medicine (75) Research Instruments, Questionnaires, and Tools (576) Data Science (270) New Methods (945) Clinical Informatics (1022) Decision Support for Health Professionals (1186)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47254, first published .
The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application

The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application

The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application

Authors of this article:

Tobias Ueli Blatter1, 2 Author Orcid Image ;   Harald Witte1 Author Orcid Image ;   Jules Fasquelle-Lopez3 Author Orcid Image ;   Christos Theodoros Nakas1, 4 Author Orcid Image ;   Jean Louis Raisaro3 Author Orcid Image ;   Alexander Benedikt Leichtle1, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Blatter T, Schär D, Witte H, Nakas C, Leichtle A. Data Mining Reference Intervals by ICD-10 Stratified Differential Distributions. Clinical Chemistry 2024;70(9):1182 View
  2. Blatter T, Nakas C, Leichtle A. Direct, age- and gender-specific reference intervals: applying a modified M-estimator of the Yeo-Johnson transformation to clinical real-world data. Journal of Laboratory Medicine 2024;48(5):239 View