TY - JOUR T1 - Artificial Intelligence Based Chatbot in E-Health System AU - Akarsu, Kamil AU - Er, Orhan PY - 2023 DA - October JF - Artificial Intelligence Theory and Applications JO - AITA PB - İzmir Bakırçay Üniversitesi WT - DergiPark SN - 2757-9778 SP - 113 EP - 122 VL - 3 IS - 2 LA - en AB - The healthcare sector is undergoing a digital revolution due to the rapid growth of technology, and AI technologies are becoming more commonplace in the sector. Chatbots have become useful resources for people to get advice and information about their health issues. The creation and implementation of an AI-based chatbot, integrated with an e-health system, is the main topic of this article. This paper explains the development and creation of chatbots. The chatbot's language comprehension and response capabilities are enhanced through the use of AI techniques such as machine learning and natural language processing (NLP). In addition, the chatbot's user interaction procedure and data security precautions are covered. The paper also examines how the developed chatbot can be integrated into an e-health platform and provides the results of user testing. These evaluations focus on the chatbot's ability to provide accurate and insightful answers, understand user requirements, and provide useful advice. The test results show favourable user evaluations and indicate how well the AI-based chatbot performs in providing healthcare services. KW - Chatbot KW - Chatbot in E-Health System KW - Sentence Matching with Deep Learning CR - [1] C. Zielinski et al., “Chatbots, ChatGPT, and Scholarly Manuscripts - WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications,” Afro-Egyptian Journal of Infectious and Endemic Diseases, vol. 13, no. 1, pp. 75–79, Mar. 2023, doi: 10.21608/AEJI.2023.282936. CR - [2] N. Bhirud, S. Tatale, S. Randive, S. Tataale, and S. 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