Description
Digital technologies are currently dramatically changing healthcare. Cloud healthcare is an increasingly trending topic in the field, converging skills from computer and health science. This new strategy fosters the management of health data at a large scale and makes it easier for healthcare organizations to improve patient experience and health team productivity while helping the support, security, compliance, and interoperability of health data.
Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare is a reference in the ongoing digital transformation of the healthcare sector. It presents a comprehensive state-of-the-art approach to cloud internet of things health technologies and practices. It provides insights over strategies, methodologies, techniques, tools, and services based on emerging cloud digital health solutions to overcome digital health challenges. Covering topics such as auxiliary systems, the internet of medical things, and natural language processing, this premier reference source is an essential resource for medical professionals, hospital administrators, medical students, medical professors, libraries, researchers, and academicians.
Author's/Editor's Biography
Ricardo Queirós (Ed.)
Ricardo Queirós holds a PhD on Computer Science and is an assistant professor of Computer Science at the Polytechnic Institute of Porto. He is also a researcher in the field of e-learning interoperability and programming languages learning at the Center for Research in Advanced Computing Systems (CRACS) research group of INESC TEC Porto. He is also the author of 5 books regarding Android development and has almost 100 scientific publications focused on computer science education.
Bruno Cunha (Ed.)
Bruno Cunha holds a PhD in Computer Science and is a Research Scientist at Porto Research, Technology & Innovation Center (PORTIC) and a Professor at the informatics engineering department of the Institute of Engineering of Porto (ISEP), both part of the Polytechnic Institute of Porto (P.Porto). His research interests are in the areas of optimization and machine learning. His current investigation focuses on the application of these technologies to the digital health field, creating new efficient and intelligent technologies to support different stages of the medical treatment.
Xavier Fonseca (Ed.)
Xavier Fonseca is a Doctor Engineer that aims for positive impact in society through research and IT-based solutions. Fonseca is driven by innovation, and actively seeks for ways to build software and technology that can be created from underlying values such as social responsibility, privacy, and high performance. Fonseca uses the knowledge and professional experience accumulated over the years to tackle ever-evolving world-wide complex problems. Fonseca co-authored multiple articles in top scientific journals and has presented work on several national and international conferences. The topics addressed are on social cohesion, meaningful social interaction, playable cities, requirements engineering, user profiling, civic engagement, location-based games, serious digital games, games for education, and high performance computing to speed up artificial intelligence-based sequential algorithms (with the use of general purpose GPUs). Besides his scientific presentations, Fonseca also gave presentations as keynote speaker to other research groups on social cohesion, to help further define their research questions.