Ravinder Pal Singh
Abstract:
The rapid advancements in mobile technology have revolutionized healthcare, enabling real-time health monitoring and early diagnosis through mobile applications. This study focuses on the development of a mobile health application integrating wearable sensors, cloud computing, artificial intelligence, and secure data management for continuous health tracking. The system architecture comprises a client-side interface, a cloud-based backend, and secure database storage to ensure efficient data processing. Machine learning models enhance predictive analytics, allowing early detection of health risks. Rigorous testing, including unit, integration, and user acceptance testing, ensures reliability and accuracy. Despite challenges such as data security and accessibility, mobile health applications have the potential to improve patient outcomes and transform healthcare delivery.
