Utilization of Automated Keyword Search to Identify E-Scooter Injuries in the Emergency Department

Background and objective Accurate identification and categorization of injuries from medical records can be challenging, yet it is important for injury epidemiology and prevention efforts. Coding systems such as the International Classification of Diseases (ICD) have well-known limitations. Utilizin...

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Vydáno v:	Curēus (Palo Alto, CA) Ročník 13; číslo 11; s. e19539
Hlavní autoři:	Pourmand, Ali, Boniface, Keith S, Douglass, Katherine, Hood, Colton, Frasure, Sarah E, Barnett, Jeremy, Bhatt, Kunj, Sikka, Neal
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Springer Nature B.V 13.11.2021 Cureus
Témata:	Automation Bone surgery Classification Coronaviruses COVID-19 Documentation Electronic health records Emergency medical care Epidemiology Epidemiology/Public Health Injuries Magnetic resonance imaging Orthopedics Patients Public Health Scooters Trauma United States > US Maryland Virginia python text search natural language processing emergency department traumatic injuries scooter
ISSN:	2168-8184, 2168-8184
On-line přístup:	Získat plný text
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