Artificial Intelligence-based Health Data
| dc.contributor.author | Akarsu, Kamil | |
| dc.contributor.author | Hiziroglu, Ourania Areta | |
| dc.contributor.author | Er, Orhan | |
| dc.date.accessioned | 2025-03-20T09:45:00Z | |
| dc.date.available | 2025-03-20T09:45:00Z | |
| dc.date.issued | 2024 | |
| dc.department | İzmir Bakırçay Üniversitesi | |
| dc.description.abstract | 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. | |
| dc.identifier.doi | 10.1201/9781003495406-4 | |
| dc.identifier.endpage | 69 | |
| dc.identifier.isbn | 978-104030072-5 | |
| dc.identifier.isbn | 978-103277566-1 | |
| dc.identifier.scopus | 2-s2.0-85212015462 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 43 | |
| dc.identifier.uri | https://doi.org/10.1201/9781003495406-4 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14034/2119 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | CRC Press | |
| dc.relation.ispartof | The Impact of Artificial Intelligence on Healthcare Industry: Volume 1: Non-Clinical Applications | |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20250319 | |
| dc.title | Artificial Intelligence-based Health Data | |
| dc.type | Book Part |
