Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems: System Protection and Data Analysis (Engineering … Systems and Critical Infrastructures, 12)

Price: $199.99
(as of Dec 27,2024 12:38:14 UTC – Details)

Publisher ‏ : ‎ Springer; 2024th edition (February 10, 2025)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 163 pages
ISBN-10 ‏ : ‎ 3031707745
ISBN-13 ‏ : ‎ 978-3031707742
Item Weight ‏ : ‎ 1.74 pounds

Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems: System Protection and Data Analysis (Engineering of Complex Computer Systems and Critical Infrastructures, 12)

In today’s digital age, the use of artificial intelligence (AI) techniques has become increasingly important in the field of medical cyber-physical systems. These systems combine the physical and digital components of healthcare, allowing for more efficient and effective medical care.

One of the key challenges in these systems is the protection and analysis of sensitive data. Medical records, patient information, and other confidential data must be safeguarded against cyber threats and unauthorized access. AI techniques such as machine learning, deep learning, and natural language processing can be used to analyze and protect this data effectively.

In this book, researchers and practitioners explore the latest AI techniques for analyzing sensitive data in medical cyber-physical systems. They discuss the importance of system protection and data analysis, as well as the challenges and opportunities in this rapidly evolving field.

Topics covered include:

– The role of AI in system protection and data analysis
– Machine learning algorithms for detecting and preventing cyber attacks
– Deep learning techniques for analyzing medical data
– Natural language processing for extracting insights from medical records
– Case studies and real-world applications of AI in medical cyber-physical systems

This book is essential reading for engineers, researchers, and practitioners working in the field of medical cyber-physical systems. It provides valuable insights into the use of AI techniques for protecting and analyzing sensitive data, ensuring the security and integrity of healthcare information in an increasingly connected world.
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