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Statistical quantification of confounding bias in machine learning models.

Tamas Spisak
Published in: GigaScience (2022)
The proposed test (implemented in the package mlconfound; https://mlconfound.readthedocs.io) can aid the assessment and improvement of the generalizability and validity of predictive models and, thereby, fosters the development of clinically useful machine learning biomarkers.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning