Published September, 2022
By Balusamy Balamurugan, Munish Sabharwal, B. Balamurugan Baluswamy, S. Rakesh Kumar, N. Gayathri, Shakhzod Suvanov and B. Balamurugan Balusamy
Publisher: Institution of Engineering and Technology
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This edited book demonstrates the effective use of AI in healthcare via a number of innovative case studies. The editors show how increased use of Artificial Intelligence (AI) can improve the delivery of health care services in areas such as disease detection or medical decision support.

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Published August, 2022
By Joel J.P.C Rodrigues and Chinmay Chakraborty
Publisher: Institution of Engineering and Technology
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This edited book looks at the role technology has played to monitor, map and fight the COVID-19 global pandemic. The vital role that intelligent advanced healthcare informatics has played during this crucial time are explored, as well as e-healthcare, telemedicine, and life support systems.

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Published June, 2022
By Nachiappan Chockalingam
Publisher: Institution of Engineering and Technology
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This edited book focuses on the hardware systems for gait analysis such as speed, pressure, or body angles as well as data visualisation and mathematical models for interpreting this data. The book is written by a range of international researchers from academia, industry, and clinical settings.

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Published April, 2022
By Pradeep Kumar, Utku Kose, Jyotir Moy Chatterjee, Vishal Jain and Pardeep Kumar
Publisher: Institution of Engineering and Technology
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This edited book covers big data analysis methods of patient data gained via IoT-enabled monitoring systems. The information gathered can be processed to aid clinicians with diagnoses, prognoses and interventions. This book is a great reference to those using, designing, modelling and analysing intelligent healthcare services.

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Published February, 2022
By Subhendu Kumar Pani, Priyadarsan Patra, Gianluigi Ferrari, Radoslava Kraleva, Henry Wang and Xinheng Wang
Publisher: Institution of Engineering and Technology
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Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.

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Published February, 2022
By Lulu Wang
Publisher: Institution of Engineering and Technology
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This book discusses electromagnetic waves and antennas used as diagnostic tools and therapeutic techniques for applications in cancer detection, stroke event detection, GI diagnostics, and cardiovascular risk predictions. It discusses electromagnetic devices, wireless implants, and in vitro and in vivo testing.

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Published January, 2022
By Sudeep Tanwar
Publisher: Institution of Engineering and Technology
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A secured system for Healthcare 4.0 is vital to all stakeholders, including patients and caregivers. Using the new Blockchain system of trusted ledgers would help guarantee authenticity in the multi-access system that is Healthcare 4.0. This is the first comprehensive book on the topic, which includes coverage of privacy and security.

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Published December, 2021
By Pradeep Kumar Ray, Siaw-Teng Liaw, Artur Serrano and J. Artur Serrano
Publisher: Institution of Engineering and Technology
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This book presents a discussion of evolving digital technologies, such as smart phones, assisted living, and innovative digitally based services that are helping to deliver quality, cost-effective and widely accessible healthcare for the elderly.

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Published February, 2021
By Leonard Goldschmidt and Rona Margaret Relova
Publisher: Institution of Engineering and Technology
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This book explores technologies that will lead the way to a revolution in healthcare delivery. Topics include information systems in healthcare, big data for public health, home monitoring, mobile apps, gamification, minimally disruptive medicine, medical robotics, immersive technologies, blockchain and artificial intelligence.

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Published January, 2021
By Naveen Chilamkurti, T. Poongodi, Balusamy Balamurugan and T. Lucia Agnes Beena
Publisher: Institution of Engineering and Technology
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This edited book examines the application of blockchain technology and machine learning algorithms in various healthcare settings. This book covers the basic concepts of Blockchain and Machine Learning, and explores these issues with an eye on improving clinical outcomes and improving the patient's experience.

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