Enabling Person-Centric Healthcare Using Ambient Assistive Technology, Volume 2 : Personalized and Patient-Centric Healthcare Services in AAT

Paolo Barsocchi

ISBN 10: 3031825152 / ISBN 13: 9783031825156

Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2025

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9783031825156

Bibliografische Details

• Titel: Enabling Person-Centric Healthcare Using Ambient Assistive Technology, Volume 2 : Personalized and Patient-Centric Healthcare Services in AAT
• Verlag: Springer Nature Switzerland, Springer Nature Switzerland
• Veröffentlichungsdatum: 2025
• Sprache: Englisch
• ISBN-10: 3031825152
• ISBN-13: 9783031825156
• Bindung: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.