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Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions – A scoping review

Fig 2

The number of medical anomaly detection articles based on EHR data by data accessibility.

Dark grey = open, light grey = protected. Open = studies based on publicly accessible or accessible with request data (stated in the papers), protected = studies based on publicly inaccessible data (at the time of data extraction).

Fig 2

doi: https://doi.org/10.1371/journal.pone.0332963.g002