Use of indirect methods and machine learning algorithms for the estimation of reference intervals, taking cortisol measurements as an example

This study highlights the necessity of considering both age and blood collection time in clinical interpretation and demonstrates the effectiveness of indirect methods and machine learning approaches in the verification of RIs for hormones with known heterogeneity.

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Publication Details

Journal
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2025-10-21
DOI
https://doi.org/10.1515/cclm-2025-0984
Citations
1
Primary Topic
Pituitary Gland Disorders and Treatments
Type
article
Field-Weighted Citation Impact
1.29
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article

Use of indirect methods and machine learning algorithms for the estimation of reference intervals, taking cortisol measurements as an example

Georg Hoffmann, Fatma Demet Arslan
1 citations
Clinical Chemistry and Laboratory Medicine (CCLM)
Pituitary Gland Disorders and Treatments
1.29
article

Use of indirect methods and machine learning algorithms for the estimation of reference intervals, taking cortisol measurements as an example

Georg Hoffmann, Fatma Demet Arslan
article en
1 citations

Abstract

This study highlights the necessity of considering both age and blood collection time in clinical interpretation and demonstrates the effectiveness of indirect methods and machine learning approaches in the verification of RIs for hormones with known heterogeneity.

Clinical Chemistry and Laboratory Medicine (CCLM)Vol. 64(3)
Deutsches Herzzentrum München (DE), Bakırçay Üniversitesi
Openalex Percentile: Top 14%
Pituitary Gland Disorders and Treatments
1.29
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