ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values

25 Jun 2020Lucas J. LiuHongwei ZhangJianzhong DiJin Chen

Many real-world Electronic Health Record (EHR) data contains a large proportion of missing values. Leaving substantial portion of missing information unaddressed usually causes significant bias, which leads to invalid conclusion to be drawn... (read more)

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