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Analytical Performance Specifications for Input Variables: Investigation of the Model of End-Stage Liver Disease.

Eline Sandvig AndersenRichard RöttgerClaus L BrasenIvan Brandslund
Published in: Clinical chemistry (2024)
Error propagation through MELD is complex and includes population-dependent mechanisms. Biological variation-derived APS were acceptable for all uses of the MELD score. Other combinations of APS can yield equally acceptable results. This analysis exemplifies how error propagation through artificial intelligence models can become highly complex. This complexity will necessitate that both model suppliers and clinical laboratories address analytical performance specifications for the specific use case, as these may differ from performance specifications for traditional use of the analyses.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • liquid chromatography