Enabling person-centric healthcare using ambient assistive technology : personalized and patient-centric healthcare services in AAT / Paolo Barsocchi, Naga Srinivasu Parvathaneni, Amik Garg, Akash Kumar Bhoi, Filippo Palumbo, editors.
Barsocchi, Paolo, editor.; Parvathaneni, Naga Srinivasu, editor.; Garg, Amik, editor.; Bhoi, Akash Kumar, editor.; Palumbo, Filippo, editor.
2023
HV1569.5 .E53 2023
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Enabling person-centric healthcare using ambient assistive technology : personalized and patient-centric healthcare services in AAT / Paolo Barsocchi, Naga Srinivasu Parvathaneni, Amik Garg, Akash Kumar Bhoi, Filippo Palumbo, editors.
ISBN 9783031382819 (electronic bk.)
3031382811 (electronic bk.)
9783031382802
3031382803
DOI https://doi.org/10.1007/978-3-031-38281-9
Published Cham : Springer, 2023.
Language English
Description 1 online resource (xii, 317 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-38281-9 doi
Call Number HV1569.5 .E53 2023
Dewey Decimal Classification 004.087
Summary This book experiences the future of patient-centered healthcare and dives into the latest advancements and transformative technologies that are revolutionizing the well-being of individuals around the globe. The readers can join authors on an engaging journey as the authors explore the captivating realm of ambient assisted living and unlock its immense potential for improving healthcare outcomes. This book goes beyond mere exploration; it invites readers to embark on a voyage of discovery as authors unveil the outcomes of groundbreaking research ideas. With a diverse range of applications, from deep learning in healthcare to cutting-edge models, the authors offer a comprehensive view of the opportunities and challenges that lie ahead. Whether you're a healthcare professional, an academic seeking the latest insights, or a researcher delving into the realms of ambient assistive technology, biomedical engineering, or computational intelligence, this book is an invaluable resource. Additionally, postgraduate students pursuing data engineering systems find it to be an essential guide. Each chapter stands independently, providing a comprehensive overview of problem formulation and its tangible outcomes. The readers can immerse themselves in the world of patient-centered healthcare today and become part of the forefront of innovation.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 6, 2023).
Added Author Barsocchi, Paolo, editor.
Parvathaneni, Naga Srinivasu, editor.
Garg, Amik, editor.
Bhoi, Akash Kumar, editor.
Palumbo, Filippo, editor.
Series Studies in computational intelligence ; v. 1108. 1860-9503
Available in Other Form Print version: 9783031382802
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Sensor Datasets for Human Daily Safety and Well-being
Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamification Features for Obesity
Human centered Mathematics: a framework for medical applications based on Extended Reality and Artificial Intelligence
Attentive Vision-Based Model for Sarcopenia Screening by Automating Timed Up-and-Go (TUG) Test
AAL with Deep Learning to classify the Diseases remotely from the image data
Heart Failure Prediction Using Radial Basis with Metaheuristic Optimization
Healthcare Management And Prediction Of Future Illness Through Autonomous Intelligent Advisory System Using Aat Computational Framework
ResNet-50-CNN and LSTM based Arrhythmia detection model based on ECG dataset
A Review of Brain-Computer Interface (BCI) System: Advancement and Applications
Optimized TSA ResNet architecture with TSH -discriminatory features for kidney stone classification from QUS Images
Ambient Healthcare: A new Paradigm in Medical Zone
Illuminating Unexplored Corners in Healthcare Space using Ambience Intelligence
Depression Assessment in Youths using an Enhanced Deep Learning Approach
Telemedicine Enabled Remote Digital Healthcare System.

Browse Subjects

Show more subjects...

Statistics

from
to
Export