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The impact of imputation quality on machine learning classifiers for datasets with missing values.

Tolou ShadbahrMichael RobertsJan StanczukJulian GilbeyPhilip TeareSören DittmerMatthew ThorpeRamon Viñas TornéEvis SalaPietro LióMishal PatelJacobus Prellernull nullJames H F RuddTuomas K MirttiAntti Sakari RannikkoJohn A D AstonJing TangCarola-Bibiane Schönlieb
Published in: Communications medicine (2023)
It is imperative to consider the quality of the imputation when performing downstream classification as the effects on the classifier can be considerable.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • quality improvement
  • big data