Reference Curves for Pediatric Endocrinology: Leveraging Biomarker Z-Scores for Clinical Classifications.

Andre Greger Madsen Bjørg Almås Ingvild Særvold Bruserud Ninnie Helen Bakken OehmeChristopher Sivert NielsenMathieu RoelantsThomas HundhausenMarie Lindhardt LjubicicRobert BjerknesGunnar MellgrenJørn V SagenPétur B JuliussonKristin Viste

Published in: The Journal of clinical endocrinology and metabolism (2022)

Biomarker reference curves and corresponding z-scores provide an intuitive framework for clinical implementation in pediatric endocrinology and facilitate the application of machine learning classification and covariate precision medicine for pediatric patients.

Keyphrases

machine learning
primary care
healthcare
artificial intelligence
big data
quality improvement
young adults