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Chatbots for the Detection of Covid-19: A Systematic Review of the Literature
被引:0
|作者:
Albites-Tapia, Antony
[1
]
Gamboa-Cruzado, Javier
[1
]
Almeyda-Ortiz, Junior
[1
]
Moreno Lazaro, Alberto
[2
]
机构:
[1] Univ Nacl Federico Villarreal, Fac Ingn Ind & Sistemas, Lima, Peru
[2] Univ Privada Antenor Orrego, Fac Med Humana, Trujillo, Peru
关键词:
Covid-19;
diagnosis;
chatbot;
NLP;
digital assistants;
health;
systematic review;
FUTURE;
HEALTH;
D O I:
暂无
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
At present, the development of chatbots is one of the key activities for the diagnosis of Covid-19. The aim is to understand how these chatbots operate in the health area to make a respective diagnosis. The purpose of the research is to determine the state of the art on the use of chatbots and its impact on Covid-19 diagnosis during the last 2 years. The data sources that have been consulted are IEEE Xplore, Taylor & identified 5701 papers, of which 101 papers were selected through 8 selection criteria and 7 quality assessments. This review presents discussions regarding the methodologies used for chatbot development, i.e., what are the purposes and impact of using chatbots for Covid-19 diagnosis. In addition, this is presents the results of how important the development and implementation of chatbots are in the area of health in the face of this pandemic.
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页码:991 / 998
页数:8
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