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  • 标题:AI Chatbot Design during an Epidemic like the Novel Coronavirus
  • 本地全文:下载
  • 作者:Gopi Battineni ; Nalini Chintalapudi ; Francesco Amenta
  • 期刊名称:Healthcare
  • 电子版ISSN:2227-9032
  • 出版年度:2020
  • 卷号:8
  • 期号:2
  • 页码:154-161
  • DOI:10.3390/healthcare8020154
  • 出版社:MDPI Publishing
  • 摘要:Since the discovery of the Coronavirus (nCOV-19), it has become a global pandemic. At the same time, it has been a great challenge to hospitals or healthcare staff to manage the flow of the high number of cases. Especially in remote areas, it is becoming more difficult to consult a medical specialist when the immediate hit of the epidemic has occurred. Thus, it becomes obvious that if effectively designed and deployed chatbot can help patients living in remote areas by promoting preventive measures, virus updates, and reducing psychological damage caused by isolation and fear. This study presents the design of a sophisticated artificial intelligence (AI) chatbot for the purpose of diagnostic evaluation and recommending immediate measures when patients are exposed to nCOV-19. In addition, presenting a virtual assistant can also measure the infection severity and connects with registered doctors when symptoms become serious.
  • 关键词:nCOV-19; AI; chat bots; artificial intelligence markup language (AIML); functionalities nCOV-19 ; AI ; chat bots ; artificial intelligence markup language (AIML) ; functionalities
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