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Enabling Person-Centric Healthcare Using Ambient Assistive Technology

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Cover of 'Enabling Person-Centric Healthcare Using Ambient Assistive Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Sensor Datasets for Human Daily Safety and Well-Being
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    Chapter 2 Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamification Features for Obesity
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    Chapter 3 Human Centered Mathematics: A Framework for Medical Applications Based on Extended Reality and Artificial Intelligence
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    Chapter 4 Attentive Vision-Based Model for Sarcopenia Screening by Automating Timed Up-and-Go (TUG) Test
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    Chapter 5 AAL with Deep Learning to Classify the Diseases Remotely from the Image Data
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    Chapter 6 Heart Failure Prediction Using Radial Basis with Metaheuristic Optimization
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    Chapter 7 Healthcare Management and Prediction of Future Illness Through Autonomous Intelligent Advisory System Using AAT Computational Framework
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    Chapter 8 ResNet-50-CNN and LSTM Based Arrhythmia Detection Model Based on ECG Dataset
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    Chapter 9 A Review of Brain-Computer Interface (BCI) System: Advancement and Applications
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    Chapter 10 Optimized TSA ResNet Architecture with TSH—Discriminatory Features for Kidney Stone Classification from QUS Images
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    Chapter 11 Ambient Healthcare: A New Paradigm in Medical Zone
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    Chapter 12 Illuminating Unexplored Corners in Healthcare Space Using Ambience Intelligence
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    Chapter 13 Depression Assessment in Youths Using an Enhanced Deep Learning Approach
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    Chapter 14 Telemedicine Enabled Remote Digital Healthcare System
Attention for Chapter 7: Healthcare Management and Prediction of Future Illness Through Autonomous Intelligent Advisory System Using AAT Computational Framework
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Chapter title
Healthcare Management and Prediction of Future Illness Through Autonomous Intelligent Advisory System Using AAT Computational Framework
Chapter number 7
Book title
Enabling Person-Centric Healthcare Using Ambient Assistive Technology
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-38281-9_7
Book ISBNs
978-3-03-138280-2, 978-3-03-138281-9
Authors

Akkineni, Haritha, Myneni, Madhu Bala, Suresh, Y., Velaga, Siva, Prasanthi, P. Phani

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Engineering 1 50%