Lightweight Health Consultation Chatbot Systems using LINE Application

Artificial intelligence has offered a solution to the problem of consulting instead of using experts in many fields. Consulting about health is another aspect that saves patients time; they do not have to travel to the hospital unnecessarily, reduce the congestion of large groups of people, and also solve the concern about infectious diseases such as COVID-19. However, the development of Chatbots at present is still complicated, requires a lot of resources, takes a long time, and is quite intensive to maintain. Therefore, the researchers have proposed a guideline for developing a lightweight health consultation Chatbot using the LINE application, along with Dialogflow for the Natural Language Processing (NLP) platform and BigQuery to store data to provide consultation on basic disease descriptions, symptoms of the disease, and information useful for initial treatment, which focuses on reliability and overall usability through measuring accuracy, recall, and F1 scores, indicating the potential reliability of using the LINE application to solve consultation problems in various fields.