Natural language processing: using artificial intelligence to understand human language in orthopedics.
Knee Surg Sports Traumatol Arthrosc
; 31(4): 1203-1211, 2023 Apr.
Article
en En
| MEDLINE
| ID: mdl-36477347
ABSTRACT
Natural language processing (NLP) describes the broad field of artificial intelligence by which computers are trained to understand and generate human language. Within healthcare research, NLP is commonly used for variable extraction and classification/cohort identification tasks. While these tools are becoming increasingly popular and available as both open-source and commercial products, there is a paucity of the literature within the orthopedic space describing the key tasks within these powerful pipelines. Curation and navigation of the electronic medical record are becoming increasingly onerous, and it is important for physicians and other healthcare professionals to understand potential methods of harnessing this large data resource. The purpose of this study is to provide an overview of the tasks required to develop an NLP pipeline for orthopedic research and present recent examples of successful implementations.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Ortopedia
/
Procedimientos Ortopédicos
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Knee Surg Sports Traumatol Arthrosc
Asunto de la revista:
MEDICINA ESPORTIVA
/
TRAUMATOLOGIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Estados Unidos