Enabling Person-Centric Healthcare Using Ambient Assistive Technology, Volume 2: Personalized and Patient-Centric Healthcare Services in AAT (Studies in Computational Intelligence, 1191) - Hardcover

Hardcover

ISBN 10: 3031825152 ISBN 13: 9783031825156

Publisher: Springer, 2025

Synopsis

This book focuses more on the transformative impact of person-centric health care, where it explores cutting-edge advancements in integrating artificial intelligence and machine learning to deliver personalized and efficient care. Key topics include the application of predictive models for critical health conditions such as brain stroke, lung cancer, diabetes, and Alzheimer's, as well as the integration of secure frameworks to protect sensitive patient data. The book also covers advanced techniques for recognizing human activities in ambient environments, optimizing patient data clustering, and evaluating deep learning methods for unique use cases like yoga pose classification and resource optimization in smart healthcare.

Designed for healthcare professionals, researchers, data scientists, and technologists, this book presents a harmonious blend of technical insights and practical applications, emphasizing person-centric approaches. By focusing on multi-disease prediction, assistive technologies, and enhanced emergency management, this book serves as a vital resource for innovating healthcare delivery in smart environments.

About this title

From the Back Cover

This book focuses more on the transformative impact of person-centric health care, where it explores cutting-edge advancements in integrating artificial intelligence and machine learning to deliver personalized and efficient care. Key topics include the application of predictive models for critical health conditions such as brain stroke, lung cancer, diabetes, and Alzheimer's, as well as the integration of secure frameworks to protect sensitive patient data. The book also covers advanced techniques for recognizing human activities in ambient environments, optimizing patient data clustering, and evaluating deep learning methods for unique use cases like yoga pose classification and resource optimization in smart healthcare.

Designed for healthcare professionals, researchers, data scientists, and technologists, this book presents a harmonious blend of technical insights and practical applications, emphasizing person-centric approaches. By focusing on multi-disease prediction, assistive technologies, and enhanced emergency management, this book serves as a vital resource for innovating healthcare delivery in smart environments.

Edition details

• Publisher: Springer
• Publication date: 2025
• Language: English
• ISBN 10: 3031825152
• ISBN 13: 9783031825156
• Binding: Hardcover
• Number of pages: 339
• Editor: Barsocchi Paolo, Naga Srinivasu Parvathaneni, Kumar Bhoi Akash, Palumbo Filippo