Cargando…
Applications of Machine Learning Approaches in Emergency Medicine; a Review Article
Using artificial intelligence and machine learning techniques in different medical fields, especially emergency medicine is rapidly growing. In this paper, studies conducted in the recent years on using artificial intelligence in emergency medicine have been collected and assessed. These studies bel...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shahid Beheshti University of Medical Sciences
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732202/ https://www.ncbi.nlm.nih.gov/pubmed/31555764 |
_version_ | 1783449784831442944 |
---|---|
author | Shafaf, Negin Malek, Hamed |
author_facet | Shafaf, Negin Malek, Hamed |
author_sort | Shafaf, Negin |
collection | PubMed |
description | Using artificial intelligence and machine learning techniques in different medical fields, especially emergency medicine is rapidly growing. In this paper, studies conducted in the recent years on using artificial intelligence in emergency medicine have been collected and assessed. These studies belonged to three categories: prediction and detection of disease; prediction of need for admission, discharge and also mortality; and machine learning based triage systems. In each of these categories, the most important studies have been chosen and accuracy and results of the algorithms have been briefly evaluated by mentioning machine learning techniques and used datasets. |
format | Online Article Text |
id | pubmed-6732202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Shahid Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-67322022019-09-25 Applications of Machine Learning Approaches in Emergency Medicine; a Review Article Shafaf, Negin Malek, Hamed Arch Acad Emerg Med Review Article Using artificial intelligence and machine learning techniques in different medical fields, especially emergency medicine is rapidly growing. In this paper, studies conducted in the recent years on using artificial intelligence in emergency medicine have been collected and assessed. These studies belonged to three categories: prediction and detection of disease; prediction of need for admission, discharge and also mortality; and machine learning based triage systems. In each of these categories, the most important studies have been chosen and accuracy and results of the algorithms have been briefly evaluated by mentioning machine learning techniques and used datasets. Shahid Beheshti University of Medical Sciences 2019-06-03 /pmc/articles/PMC6732202/ /pubmed/31555764 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Shafaf, Negin Malek, Hamed Applications of Machine Learning Approaches in Emergency Medicine; a Review Article |
title | Applications of Machine Learning Approaches in Emergency Medicine; a Review Article |
title_full | Applications of Machine Learning Approaches in Emergency Medicine; a Review Article |
title_fullStr | Applications of Machine Learning Approaches in Emergency Medicine; a Review Article |
title_full_unstemmed | Applications of Machine Learning Approaches in Emergency Medicine; a Review Article |
title_short | Applications of Machine Learning Approaches in Emergency Medicine; a Review Article |
title_sort | applications of machine learning approaches in emergency medicine; a review article |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732202/ https://www.ncbi.nlm.nih.gov/pubmed/31555764 |
work_keys_str_mv | AT shafafnegin applicationsofmachinelearningapproachesinemergencymedicineareviewarticle AT malekhamed applicationsofmachinelearningapproachesinemergencymedicineareviewarticle |