Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders

Kristian Miok, Dong Nguyen-Doan, Marko Robnik-Šikonja +1

Due to complex experimental settings, missing values are common in biomedical data. To handle this issue, many methods have been proposed, from ignoring incomplete instances to var…