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Artificial Intelligence in Smart Healthcare Systems


About the Series

The progress of the healthcare sector is incremental as it learns from associations between data over time through the application of suitable big data and IoT frameworks and patterns. Many healthcare service providers are employing IoT-enabled devices for monitoring patient health care, but their diagnosis and prescriptions are instance-specific only. However, these IoT-enabled healthcare devices are generating volumes of data (Big-IoT Data), that can be analyzed for more accurate diagnosis and prescriptions. A major challenge in the above realm is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives shall be intolerable in healthcare as patient’s lives are at stake. This new book series addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. Healthcare is a multidisciplinary field that involves a range of factors like the financial system, social factors, health technologies, and organizational structures that affect the healthcare provided to individuals, families, institutions, organizations, and populations. The goals of healthcare services include patient safety, timeliness, effectiveness, efficiency, and equity. Smart healthcare consists of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT) is a system comprising real-world things that interact and communicate with each other via networking technologies. The wide range of potential applications of IoT includes healthcare services. IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation, assisted ambient living, etc. In turn, healthcare analytics can be applied to the data gathered from different areas to improve healthcare at a minimum expense.

This new book series is designed to be a first choice reference at university libraries, academic institutions, research and development centres, information technology centres, and any institutions interested in using, design, modelling, and analysing intelligent healthcare services. Successful application of deep learning frameworks to enable meaningful, cost-effective personalized healthcare services is the primary aim of the healthcare industry in the present scenario. However, realizing this goal requires effective understanding, application, and amalgamation of IoT, Big Data and several other computing technologies to deploy such systems in an effective manner. This series shall help clarify the understanding of certain key mechanisms and technologies helpful in realizing such systems.

If you are interested in writing or editing a book for the series or would like more information, please contact Cindy Carelli, [email protected].

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Next Generation Healthcare Systems Using Soft Computing Techniques

Next Generation Healthcare Systems Using Soft Computing Techniques

1st Edition

Forthcoming

Edited By D.Rekh Ram Janghel, Rohit Raja, Korhan Cengiz, Hiral Raja
September 21, 2022

This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book will also highlight implementation strategies, list problem solving solutions, and pave the ...

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

1st Edition

Forthcoming

Edited By Teena Bagga, Kamal Upreti, Nishant Kumar, Amirul Hasan Ansari, Danish Nadeem
August 08, 2022

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in ...

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