Predictions in Pre-Hospital Emergency Transport in France: A State of the Art

C. Guyeux
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Abstract

For a number of years now, the regional fire department centers have been recording their interventions numerically. Such databases are under- utilized and are mainly used for statistical andmanagement purposes. However, such a history of interventions can be very useful, if used in conjunction with artificial intelligence algorithms, for predictive purposes. Such work has recently been done in France through a series of articles investigatingthe various aspects of the problem, and has been put into production at the Doubs center. The objective of this review is to take stock of all the workthat has been done so far, to list the successes andthe stumbling blocks, and to draw up a roadmap on this theme for the years to come.
法国院前急救运输中的预测:最先进的技术
多年来,地区消防中心一直在用数字记录他们的干预措施。这种数据库利用不足,主要用于统计和管理目的。然而,如果与人工智能算法结合使用,这种干预历史可以非常有用,用于预测目的。这样的工作最近已经在法国完成了,通过一系列的文章来调查这个问题的各个方面,并已在Doubs中心投入生产。这次审查的目的是总结迄今为止所做的所有工作,列出成功和障碍,并为今后几年的这一主题制定路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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