Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction Models

The impact of biological and analytical variation on the prediction uncertainty of categorical prediction models, including ML models, can be estimated by the occurrence of discordant predictions in a simulation model. Nevertheless, discordant predictions at the individual level do not necessarily affect model performance at the population level.

Authors

Floris Helmich
William P. T. M. van Doorn (ORCID: https://orcid.org/0000-0003-2676-7448)
Remy J.H. Martens (ORCID: https://orcid.org/0000-0003-4632-6412)
Mathie P.G. Leers (ORCID: https://orcid.org/0000-0001-5186-5600)
Steven J.R. Meex (ORCID: https://orcid.org/0000-0001-8147-9006)

Institutions

Maastricht University Medical Centre (NL)
Zuyderland Medisch Centrum (NL)
Open University of the Netherlands (NL)

Publication Details

Journal: The Journal of Applied Laboratory Medicine
Published: 2024-11-05
DOI: https://doi.org/10.1093/jalm/jfae115
Citations: 2
Primary Topic: Insurance, Mortality, Demography, Risk Management
Type: article
Field-Weighted Citation Impact: 3.42

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article

Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction Models

Floris Helmich, William P. T. M. van Doorn, Remy J.H. Martens, Mathie P.G. Leers et al.

Nov 5, 2024

2 citations

The Journal of Applied Laboratory Medicine

Insurance, Mortality, Demography, Risk Management

3.42

article

Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction Models

Floris Helmich, William P. T. M. van Doorn, Remy J.H. Martens, Mathie P.G. Leers, Steven J.R. Meex

November 5, 2024article en

2 citations

Abstract

The impact of biological and analytical variation on the prediction uncertainty of categorical prediction models, including ML models, can be estimated by the occurrence of discordant predictions in a simulation model. Nevertheless, discordant predictions at the individual level do not necessarily affect model performance at the population level.

The Journal of Applied Laboratory MedicineVol. 10(2)

Maastricht University Medical Centre (NL), Zuyderland Medisch Centrum (NL), Open University of the Netherlands (NL)

Good health and well-being

Openalex Percentile: Top 7%

Insurance, Mortality, Demography, Risk Management

3.42

DOI Source OpenAlex

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