A pipeline for the fully automated estimation of continuous reference intervals using real-world data.

ABSTRACT: Reference intervals are essential for interpreting laboratory test results. Continuous reference intervals precisely capture physiological age-specific dynamics that occur throughout life, and thus have the potential to improve clinical decision-making. However, established approaches for estimating continuous reference intervals require samples from healthy individuals, and are therefore substantially restricted. Indirect methods operating on routine measurements enable the estimation of one-dimensional reference intervals, however, no automated approach exists that integrates the dependency on a continuous covariate like age. We propose an integrated pipeline for the fully automated estimation of continuous reference intervals expressed as a generalized additive model for location, scale

SUBMITTER: Ammer T 

PROVIDER: S-EPMC10439150 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature