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Emergency Brigade Selection for Improvement of Emergency Medical Service Dispatching

机译:应急大队的选择,以改善紧急医疗服务的派遣

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摘要

The work represents the project of cooperation with the Emergency and Operative Response Center - MIA LEPL "112", the ways of development of data analysis for improvement of emergency brigade dispatching. To form and analyze the dataset, programming language Python and collection of machine learning algorithms Weka toolbox are applied. The architecture of Artificial Neural Network is created. The project aims to help "112" dispatchers to make an optimal decision and decrease the response time. The Emergency and Operative Response Center "112" is ready to use the results of the project for improvement of emergency service and supports the research with the non-confidential information, necessary to fulfill the project "112" is ready to take into consideration the recommendations based on the research.
机译:这项工作代表了与紧急行动响应中心MIA LEPL“ 112”的合作项目,这是发展数据分析以改善紧急大队调度的方式。为了形成和分析数据集,应用了编程语言Python和机器学习算法Weka工具箱的集合。创建了人工神经网络的体系结构。该项目旨在帮助“ 112”个调度员做出最佳决策并减少响应时间。紧急和手术响应中心“ 112”准备好使用项目的结果来改善紧急服务,并以非机密信息支持研究,这是完成项目“ 112”准备采取的必要条件考虑基于研究的建议。

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