Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study.
Computer methods and programs in biomedicine（2023）
摘要
Based on our findings, we recommend the consideration of this imputer-classifier configuration when constructing models in the presence of extremely incomplete numerical data in EHR.
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关键词
Machine learning,Missing data,Data imputation,Informative missingness,Electronic health records,COVID-19
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