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A non-parametric effect-size measure capturing changes in central tendency and data distribution shape.

Jörn LötschAlfred Ultsch
Published in: PloS one (2020)
The proposed effect size measure shares the ability to observe such an effect with machine learning algorithms. Therefore, the proposed effect size measure is particularly well suited for data science and artificial intelligence-based knowledge discovery from big and heterogeneous data.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • electronic health record
  • healthcare