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Self-Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study.

Hansle GwonImjin AhnYunha KimHee Jun KangHyeram SeoHa Na ChoHeejung ChoiTae Joon JunYoung Hak Kim
Published in: JMIR public health and surveillance (2021)
Self-training showed significant results in comparing the predicted values and actual values, but it needs to be verified in an actual machine learning system. And self-training has the potential to improve performance according to the pseudolabel evaluation method, which will be the main subject of our future research.
Keyphrases
  • machine learning
  • virtual reality
  • mental health
  • big data
  • deep learning
  • emergency department
  • electronic health record
  • patient safety
  • data analysis
  • current status
  • adverse drug