Bias or biology? Importance of model interpretation in machine learning studies from electronic health records.

Overall, model interpretation is a critical step in evaluating validity of a user-intended endpoint for a model when using EHR data, and predictors affected by bias and those driven by biologic processes should be equally recognized.