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 KimPublished 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.