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E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes.

Kimon L H IoannidesPin-Chieh WangKamran KowsariVu VuNoah KojimaDayna ClaytonCharles LiuTarak K TrivediDavid L SchrigerJoann G Elmore
Published in: PloS one (2022)
Our observed e-scooter injury rate is likely an underestimate, but is similar to that previously reported for motorcycles. However, the comparative severity of injuries is unknown. Our methodology may prove useful to study other clinical conditions not identifiable by existing diagnostic systems.
Keyphrases
  • healthcare