Smart healthcare systems, made up of advanced wearable devices, internet
of things (IoT) technologies and mobile internet connectivity, allow
significant medical information to be easily and regularly transmitted
over public networks. Personal patient information and clinical records
are stored on hospitals and healthcare centres and can be accessed
remotely by healthcare workers. Due to the widespread increase in the
sheer volume of medical data being collected and created all the time,
it has never been more important to ensure that such information is
collected, stored and processed in a reliable and secure manner.
This edited book covers the recent trends in the field of medical
information processing, including prediction of complications using
machine learning and trends in visualization and image analysis. Further
chapters focus on information security and privacy solutions for smart
healthcare applications, including encryption of medical information,
privacy in smart IoT environments, medical image watermarking and secure
communication systems.
Medical Information Processing and Security: Techniques and
applications can be used as a reference book for practicing engineers,
researchers and scientists. It will also be useful for senior
undergraduate and graduate students, and practitioners from government
and industry as well as healthcare technology professionals working on
state-of-the-art security solutions for smart healthcare applications.
