Main description:

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.

Contents:

Chapter 1: Introduction to medical information processing and security: techniques and applications
Chapter 2: Prediction of complications in spine surgery using machine learning: a Health 4.0 study on National Surgical Quality Improvement Program beyond logistic regression model
Chapter 3: Recent trends in histopathological image analysis
Chapter 4: Terahertz imaging in healthcare
Chapter 5: The current state of summarization and visualization in Electronic Health Record (EHR) based on EHR interoperability
Chapter 6: EEG signal classification using robust energy-based least squares projection twin support vector machines
Chapter 7: Clustering-based medical image segmentation: a survey
Chapter 8: Artificial intelligence for genomics: a look into it
Chapter 9: Research on security of anonymous communication in wireless healthcare online system
Chapter 10: A comprehensive study on the security of medical information using encryption
Chapter 11: Electrocardiogram-based dual watermarking scheme for healthcare applications
Chapter 12: Application of autoencoder in craniofacial reconstruction of forensic medicine
Chapter 13: Security and Privacy in smart Internet of Things environments for well-being in the healthcare industry
Chapter 14: A survey of medical image watermarking: state-of-the-art and research directions
Chapter 15: Secure communication and privacy preserving for medical system
Chapter 16: Secure medical image encryption algorithm for e-healthcare applications
Chapter 17: Conclusion and future directions