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    Artificial Intelligence Based Chatbot in E-Health System
    (İzmir Bakırçay Üniversitesi, 2023) Akarsu, Kamil; Er, Orhan
    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.
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    Artificial Intelligence-based Health Data
    (CRC Press, 2024) Akarsu, Kamil; Hiziroglu, Ourania Areta; Er, Orhan
    This book chapter provides a comprehensive examination of the importance of health data, the use of health data with artificial intelligence, and synthetic data generation. First, it focuses on the importance of health data, privacy and security, and the combined use of artificial intelligence with health data. Secondly, it focuses on the generation and purpose of synthetic data. Different methods for generating synthetic data, such as parametric modelling, Generative Adversarial Networks (GAN), and Variational Autoencoders (VAE), are discussed, and examples of applications and uses of synthetic data are provided. The benefits and challenges of synthetic data generation are also discussed. The chapter then discusses topics related to the application of artificial intelligence to health data, examining disease diagnosis and treatment recommendations, as well as applications of artificial intelligence in the field of personalized medicine. It then examines privacy and security legislation, ethical principles for the use and sharing of synthetic data, and different approaches to applications in the private and public sectors. Finally, it looks to the future, providing information on emerging technologies and applications of artificial intelligence-based health data analysis and management, and the future of anonymization and synthetic data generation techniques. This section provides a comprehensive view of the future potential and role of health data and artificial intelligence. © 2025 Mustafa Berktas, Abdulkadir Hiziroglu, Ahmet Emin Erbaycu, Orhan Er and Sezer Bozkus Kahyaoglu.