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"Big Data and the Internet of Things in the Management of Chronic Diseases" discusses the possibilities brought on by new technologies that help provide more personalized medicine. For example, data collected by sensors and wearable devices that is combined with genetics and clinical information allows patients to be more aware of their conditions and avoid unnecessary costs for health systems.

This book encompasses topics such as principles of self-management, big data processing and analyses, decision support making, and continuous monitoring of health conditions. Additionally, it brings the emerging and future trends in personalized medicine using connected databases.

Bringing together updated technical knowledge and a translational view to healthcare, the book is a valuable resource for members of medical professions, researchers in medical informatics and biomedical engineering, and workers of medical industry who are interested in learning about recent developments.
Presents new trends in big data analysis and processing in healthcareBrings a vision for how new connected data technologies can improve biomedical research and practiceDiscusses emerging topics with didactic language, making it useful as a support for regular teaching or as a practical handbook