文章基本信息

标题：Decision Support System Design For Low Voice Emergency Medical Calls At Smart City Based On Chatbot Management In Social Networks
本地全文：下载
作者：Myroslava Bublyk ; Taras Kalynii ; Larysa Varava 等
期刊名称：Webology
印刷版ISSN：1735-188X
出版年度：2022
卷号：19
期号：2
页码：2135-2178
语种：English
出版社：University of Tehran
摘要：People value today's life more than ever. We have one in a million people who need listening or editing, and they need a silent emergency call. The digital technologies we use now, we see more and more and more popular in this field of health, also represent new unique tools, which allow being convinced of the interests and be fresh in other branches of medicine. With these new solutions, which are reviewing their own, available in a medical consultation, or following only possible actions, you can use these difficulties to use digital technology. An analysis of literature and Internet sources was conducted, the main approaches to the development of this problem were explored, and a number of their advantages and disadvantages were identified. It was proposed to design information systems to make wooden targets that transform the main targets. In addition, they chose the type of information system that uses the methodology of hierarchies. The analysis of many technical means for sending chatbots was confirmed. After analyzing the control example, it was almost known that the software product is working and fulfills the tasks, offering the opportunity to team members who have unknown expressed medical care in Smart City. The expediency of the development of a new software product is substantiated.
关键词：Chatbot;Telegram;Decision Suppo rt System;Information Technolog y;Social Networks;Dialogflow;Python Django;PostgreSQL;Smart City;Emergency Medical Calls