Books published by Elsevier Science & Technology

Asthma in the 21st Century: New Research Advances provides an overview on asthma, with discussions on its heterogeneity, risk factors and their interrelations, and e-health in an aging world based on current research knowledge. The book covers heterogeneity of the disease beyond severe asthma, new risk factors, new diagnoses with climate change, a focus on chemical exposures at home, e-health and links with aging, and notable advances in key areas such as diet and microbiota, the genetics of asthma, and the asthma versus COPD debate. Worldwide, the total number of asthma sufferers is estimated to be ~270 million with an additional 100 million expected to develop asthma by 2025, and asthma is the most common chronic disease among children. There are a number of clinical books available on asthma, but none with much discussion on current scientific findings and new disease understanding. Yet, the concept of asthma has evolved quickly in the past 5¿10 years, with many clinicians struggling to keep up with new scientific findings.

Computers as Components: Principles of Embedded Computing System Design, Fifth Edition continues to focus on foundational content in embedded systems technology and design while updating material throughout the book and introducing new content on machine learning and Internet-of-Things (IoT) systems.

Understanding Personalization: New Aspects of Design and Consumption addresses the global phenomenon of personalization that affects many aspects of everyday life. The book identifies the dimensions of personalization and its typologies. Issues of privacy, the ethics of design, and the designer/maker¿s control versus the consumer¿s freedom are covered, along with sections on digital personalization, advances in new media technologies and software development, the way we communicate, our personal devices, and the way personal data is stored and used. Other sections cover the principles of personalization and changing patterns of consumption and development in marketing that facilitate individualized products and services. The book also assesses the convergence of both producers and consumers towards the co-creation of goods and services and the challenges surrounding personalization, customization, and bespoke marketing in the context of ownership and consumption.

Approx.854 pages

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction.