Generalidades del machine learning y su aplicación en la gestión sanitaria en servicios de urgencia

Víctor Pedrero, Katiuska Reynaldos-Grandón, Joaquín Ureta-Achurra, Erick Cortez-Pinto

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

Resumen

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.

Título traducido de la contribuciónOverview of machine learning and its application in the management of emergency services
Idioma originalEspañol
Páginas (desde-hasta)248-254
Número de páginas7
PublicaciónRevista Medica de Chile
Volumen149
N.º2
DOI
EstadoPublicada - feb 2021

Palabras clave

  • Emergency medical services
  • Health information management
  • Machine learning

Áreas temáticas de ASJC Scopus

  • Medicina (todo)

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