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The Impact of Missing Value Imputation on the Interpretations of Predictive Models: A Case Study on One-year Mortality Prediction in ICU Patients with Acute Myocardial Infarction
2020-06-08
health informatics
Title + abstract only
View on medRxiv
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Acute myocardial infarction poses significant health risks and financial burden on healthcare and families. Prediction of mortality risk among AMI patients using rich electronic health record (EHR) data can potentially save lives and healthcare costs. Nevertheless, EHR-based prediction models usually use a missing data imputation method without considering its impact on the performance and interpretability of the model, hampering its real-world applicability in the healthcare setting. This study...
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