Digital Health and the Future of Healthcare Delivery

Digital health is rapidly transforming healthcare delivery and patient outcomes by leveraging technological advancements. This review article explores key aspects of digital health, focusing on the theoretical underpinnings, essential data processing techniques such as feature engineering and dimensionality reduction, and the application of clustering algorithms in medical contexts. We delve into system architecture considerations and highlight emerging challenges, particularly federated learning, as a means to address data privacy concerns. A comparative analysis of clustering methods and a discussion on the broader implications and future directions of digital health are presented. The article aims to provide a comprehensive overview for researchers and practitioners in the field.

کلیدواژه ها:

Digital Health ، Machine Learning ، Feature Engineering ، Dimensionality Reduction ، Clustering ، Federated Learning ، Healthcare Technology.