Generalidades del Machine Learning y su aplicación en la gestión sanitaria en Servicios de Urgencia / Overview of machine learning and its application in the management of emergency services
Rev. méd. Chile
;
149(2): 248-254, feb. 2021. ilus
Artigo
em Espanhol
| LILACS
| ID: biblio-1389434
ABSTRACT
The processes associated with health care generate a large amount of information that is difficult to analyze using standard statistical procedures. In this context, disciplines such as Data Science became relevant, mainly through strategies such as Machine Learning (ML). The latter groups a series of tools whose purpose is to develop algorithms to extract information from data, whether for explanation, classification, or prediction. Despite its usefulness as support for clinical decisions, its potential in health care management has been less explored. Also, there are difficulties in understanding these types of studies. This work tries to offer a nontechnical overview of the ML concept and its advantages for health care management. It collects examples of ML applications in emergency department management.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Algoritmos
/
Aprendizado de Máquina
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Espanhol
Revista:
Rev. méd. Chile
Assunto da revista:
Medicina
Ano de publicação:
2021
Tipo de documento:
Artigo
País de afiliação:
Chile
Instituição/País de afiliação:
Asesoría independiente/CL
/
Servicio de Salud Metropolitano Sur/CL
/
Universidad Andrés Bello/CL
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