Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.
Journal:
Clinical chemistry and laboratory medicine
Published Date:
May 28, 2025
Abstract
OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. However, analytical bias in laboratory measurements can compromise their performance and validity in real-world settings. We aimed to evaluate how analytically acceptable bias may affect the validity and generalizability of ML models trained on laboratory data.
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