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Title Internet of Things use cases for the healthcare industry / Pethuru Raj, Jyotir Moy Chatterjee, Abishek Kumar, B. Balamurugan, editors.
Imprint Cham : Springer, 2020.

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Subject Artificial intelligence -- Medical applications.
Internet of things.
Cooperating objects (Computer systems)
Alt Name Raj, Pethuru.
Chatterjee, Jyotir Moy.
Kumar, Abhishek.
Balamurugan, B.
Description 1 online resource (303 pages)
Note Description based upon print version of record.
7 IoT: The Road Ahead for Healthcare Producers
Bibliography Note Includes bibliographical references and index.
Contents Intro -- Preface -- Contents -- Contributors -- AI and IoT in Healthcare -- 1 Introduction -- 2 Role of AI in Diabetes -- 3 AI in Cardiovascular -- 3.1 Profound Learning in Cardiology -- 4 AI in Mental Well-Being -- 4.1 Emotional Symptoms -- 4.2 Mental Disorders Are the Costliest Condition in the US -- 5 Role of AI in Parkinson's Disease -- 5.1 Pervasiveness and Costs of Parkinson's Disease -- 6 Role of AI in Chronic Kidney Disease -- 6.1 Kidney Disease AI Applications Overview -- 6.2 Utilizing AI to Reveal Patients with the Most Noteworthy Hazard -- 7 Role of AI in Dementia
7.1 Dementia AI Applications Overview -- 7.2 Mental and Physical Health Screening -- 8 Conclusion -- References -- Proposing Real-Time Smart Healthcare Model Using IoT -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Methodology -- 5 Capability -- 6 Conclusion and Future Work -- References -- A Fog-Based Approach for Real-Time Analytics of IoT-Enabled Healthcare -- 1 Introduction -- 2 IoT Analytics -- 3 Fog Computing -- 4 Role of Fog Computing in Healthcare -- 5 Deployment of Healthcare Applications -- 6 Case Study: A Real-Time Fog Healthcare Scenario
7 Notification Through Android Application -- 8 Conclusion -- References -- Applications of IoT in Indoor Air Quality Monitoring Systems -- 1 Introduction -- 2 Basic Concepts of IoT -- 2.1 History of IoT -- 2.2 IoT: Everywhere Around Us -- 2.3 Extensively Growing IoT Market: The Stats -- 3 Indoor Air Quality -- 3.1 Background -- 3.2 Medical Health Consequences -- 3.3 Motivation for the Design -- 4 IoT for Indoor Air Quality Monitoring -- 4.1 Survey on IoT-Based IAQ Monitoring Systems -- 4.2 Challenges -- 4.3 Requirements of Future IAQM Systems -- 5 Conclusion -- References
CloudIoT for Smart Healthcare: Architecture, Issues, and Challenges -- 1 Introduction -- 2 Application Areas and Related Work -- 3 Background Terms -- 3.1 Internet of Things in Healthcare -- 3.2 Cloud Computing in Healthcare -- 4 Integrating CloudIoT with Healthcare -- 5 CloudIoT Complementary Aspects and Integration Drivers -- 6 Framework for Healthcare Architecture -- 7 A Conceptual Healthcare Scenario -- 8 Design Considerations for Healthcare -- 9 CloudIoT Security Issues and Threats -- 9.1 Security Features and Goals -- 9.2 Security Vulnerabilities -- 9.3 Potential Defense Strategies
10 Platforms and Services -- 10.1 Platforms -- 10.2 Services -- 11 Challenges and Open Issues -- 12 Discussion and Conclusion -- References -- Impact of IoT on the Healthcare Producers: Epitomizing Pharmaceutical Drug Discovery Process -- 1 IoT in the Producer Side of Health Care: Introduction -- 2 Drug Discovery Process: Current Scenario -- 3 An Optimization Model for Identification of NCE -- 3.1 Computational Drug Design for NCE Identification -- 4 The Mathematical Model -- 5 Numerical Validation of the Model -- 6 Discussion on the Scope of Optimization in Automatic NCE Identification
Summary This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models. .
ISBN 9783030375263
3030375269
3030375250
9783030375256
ISBN/ISSN 10.1007/978-3-030-37
OCLC # 1148871953
Additional Format Print version: Raj, Pethuru Internet of Things Use Cases for the Healthcare Industry Cham : Springer International Publishing AG,c2020 9783030375256.


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