Abstract
AbstractIntelligent chatbot systems are popular applications in the fields of robotic and natural language processing. Nowadays, the strain on medical advisors encourages the use of healthcare chatbots to provide meditations and suggestions. In this paper, we have presented a dataset and a healthcare chatbot developed on the RASA framework that uses the NLP methods for disease detection and provides medical advice. The designed dataset has been verified and refined with the help of medical experts. The proficiency of the designed healthcare chatbot has been tested on the collected data using RASA test methods and validation. The model scored an F1-score of 77.3% and accuracy of 78.7%. Moreover, human evaluation achieves an accuracy of 56.50%. The dataset is publicly available at https://github.com/Medic-Bot-India/rasaModel.KeywordsChatbotIntelligent chatbot systemRASA frameworkTransformer Embedding Dialogue
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
