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Flowchart of testing process for the predictions of our NLP algorithm*.

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posted on 2022-04-06, 17:40 authored by Kimon L. H. Ioannides, Pin-Chieh Wang, Kamran Kowsari, Vu Vu, Noah Kojima, Dayna Clayton, Charles Liu, Tarak K. Trivedi, David L. Schriger, Joann G. Elmore

ED notes in panel A, and outpatient notes in panel B. As in S1 Fig in S1 File, “Confirmed Negative” refers to a note that, on review by investigators, did not suffer an e-scooter injury, while “Predicted Negative” refers to a note that our NLP algorithm did not predict as an e-scooter injury. Any cases of possible but not necessarily probable e-scooter injury are not included in our injury tallies, and are treated as non-injuries (negatives) in metrics of diagnostic performance in S2 Table in S1 File (as a secondary analysis, we computed and present diagnostic performance under the alternate assumption that possible cases were e-scooter injuries in S4 Table in S1 File). Counts refer to numbers of notes, rather than injuries or patients.