Healthcare Industry Assessment: Analyzing Risks, Security, and Reliability
Springer International Publishing (Verlag)
978-3-031-65433-6 (ISBN)
This book caters to a wide range of readers, including professionals in the healthcare and IT sectors, as well as security practitioners. This resource provides valuable perspectives on the risks and difficulties currently faced by the healthcare industry and presents practical recommendations for effectively managing these risks and enhancing security and reliability. This book is beneficial for anyone seeking to enhance their understanding of the risks, security, and reliability challenges encountered by the healthcare industry. The provided information offers a comprehensive overview of the issues at hand and provides recommendations for mitigating risks and enhancing security and stability.
Introduction to Security Risk Assessment in Medical and Healthcare Industry.- Identifying the Risk in Lie Detection for Assessing Guilty and Innocent Subjects for Healthcare Applications.- Building Trust The Foundations of Reliability in Healthcare.- Predictive Modelling to Identify Syndrome Patterns.- Advancing Healthcare Security: Exploring Applications, Challenges, and Future Research Paths in Healthcare 5.0.- The Impact of Machine Learning on Chronic Kidney Disease Analysis and Insights.- Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry Lensing Confidentiality of Patient's Information and Personal Data in Legal Ethical Landscapes Projecting Futuristic Dimensions.- Legal and Regulatory Consideration in Healthcare Industry of India.- Smart Health Revolution Exploring Artificial Intelligence of Internet of Medical Things.- IoTs based Wearable Health Monitoring through Wireless Body Area Networks.- Revolutionizing Healthcare Telemedicine and Remote Diagnostics in the Era of Digital Health.- Wearable Devices A New Dimension in Healthcare.- Operational Challenges in Modern Business Evolution in Healthcare Technology Startups.- Mathematical Framework for Class Self-correction through Reverse Validation in Hierarchical Classification.- Addressing the Emerging Healthcare Environment Risk Assessment for Healthcare 5.0.
Erscheinungsdatum | 06.08.2024 |
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Reihe/Serie | Engineering Cyber-Physical Systems and Critical Infrastructures |
Zusatzinfo | XII, 365 p. 116 illus., 103 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik | |
Schlagworte | Computational Intelligence • healthcare industry • Medical Data • Medical Imaging • Reliability • Risk • security |
ISBN-10 | 3-031-65433-1 / 3031654331 |
ISBN-13 | 978-3-031-65433-6 / 9783031654336 |
Zustand | Neuware |
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