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    ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System

    ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System av Markus Schwarz, Ludwig Christian Hinske, Ulrich Mansmann, Fady Albashiti

    Publicerad 2025-01-01

    Background: On the way towards a commonly agreed framework for auditing ML algorithms, in our previous paper we proposed a 30-question core criteria catalog. In this paper, we apply our catalog to an early sepsis onset detection system use case. Methods: The assessment of the ML algorithm behind the...

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