Health Big Data Modelling and Analytics
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
CRC Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This chapter delves into the multifaceted applications of health big data modelling and analytics across distinct categories, offering valuable insights into the transformative landscape of healthcare systems. The discussion encompasses health big data, health decision-making development, business process management for more efficient hospital operations, and analytics focused on medical diagnostics and disease/treatment monitoring. Health data modelling involves creating structured frameworks for organizing and managing healthcare data. These frameworks are crucial for efficient data storage, retrieval, and analysis within healthcare systems. Moreover, the concept of health big data extends beyond personal health records and includes vast amounts of information produced by the health sector. It explores opportunities and challenges associated with health big data analytics, highlighting its potential benefits in improving health services, early disease detection, and personalized medicine. Further exploration into artificial intelligence for health data modelling and analytics emphasizes the transformative impact of machine learning in healthcare, specifically in disease diagnosis, outcome prediction, and personalized treatment strategies. The selection of an appropriate AI model is referred crucial, considering factors such as accuracy, interpretability, scalability, and ethical considerations. Transparent and interpretable models, exemplified by decision trees, are recommended to foster trust among healthcare professionals. The chapter concludes by underscoring the paramount importance of addressing ethical and legal considerations, along with domain-specific requirements, to ensure the responsible and effective application of machine learning in healthcare, ultimately contributing to optimal patient care and the evolution of healthcare systems. © 2025 Mustafa Berktas, Abdulkadir Hiziroglu, Ahmet Emin Erbaycu, Orhan Er and Sezer Bozkus Kahyaoglu.
