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
10.14569/IJACSA.2022.01304113
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.
引用
收藏
页码:991 / 998
页数:8
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