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The Impact of Digital Technologies on Public Health in Developed and Developing Countries

Overview of attention for book
Cover of 'The Impact of Digital Technologies on Public Health in Developed and Developing Countries'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Alzheimer’s Disease Early Detection Using a Low Cost Three-Dimensional Densenet-121 Architecture
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    Chapter 2 Self-adaptative Early Warning Scoring System for Smart Hospital
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    Chapter 3 Machine Learning Based Rank Attack Detection for Smart Hospital Infrastructure
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    Chapter 4 Remote Health Monitoring Systems Based on Bluetooth Low Energy (BLE) Communication Systems
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    Chapter 5 Modeling and Specification of Bootstrapping and Registration Design Patterns for IoT Applications
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    Chapter 6 EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network
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    Chapter 7 Respiratory Activity Classification Based on Ballistocardiogram Analysis
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    Chapter 8 A Convolutional Neural Network for Lentigo Diagnosis
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    Chapter 9 Deep Learning-Based Approach for Atrial Fibrillation Detection
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    Chapter 10 Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans
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    Chapter 11 Using Learning Techniques to Observe Elderly’s Behavior Changes over Time in Smart Home
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    Chapter 12 Personalized and Contextualized Persuasion System for Older Adults’ Physical Activity Promoting
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    Chapter 13 Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being
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    Chapter 14 Automatic Daily Activity Schedule Planning for Simulating Smart House with Elderly People Living Alone
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    Chapter 15 A Novel On-Wrist Fall Detection System Using Supervised Dictionary Learning Technique
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    Chapter 16 Combined Machine Learning and Semantic Modelling for Situation Awareness and Healthcare Decision Support
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    Chapter 17 Improving Access and Mental Health for Youth Through Virtual Models of Care
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    Chapter 18 Study of Middleware for Internet of Healthcare Things and Their Applications
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    Chapter 19 Uncertainty in IoT for Smart Healthcare: Challenges, and Opportunities
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    Chapter 20 Secure E-Health Platform
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    Chapter 21 Hybrid and Secure E-Health Data Sharing Architecture in Multi-Clouds Environment
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    Chapter 22 Blockchain for Internet of Medical Things: A Technical Review
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    Chapter 23 Application of Blockchain Technology in Healthcare: A Comprehensive Study
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    Chapter 24 Trust Execution Environment and Multi-party Computation for Blockchain e-Health Systems
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    Chapter 25 A Fuzzy-Ontology Based Diabetes Monitoring System Using Internet of Things
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    Chapter 26 A Hybrid Approach for Heart Disease Diagnosis and Prediction Using Machine Learning Techniques
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    Chapter 27 Context-Aware Healthcare Adaptation Model for COPD Diseases
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    Chapter 28 Study of Healthcare Professionals’ Interaction in the Patient Records Based on Annotations
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    Chapter 29 Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis
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    Chapter 30 Comparative Study of Relevant Methods for MRI/X Brain Image Registration
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    Chapter 31 Machine Learning Classification Models with SPD/ED Dataset: Comparative Study of Abstract Versus Full Article Approach
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    Chapter 32 Evaluation of Stationary Wavelet Transforms in Reconstruction of Pure High Frequency Oscillations (HFOs)
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    Chapter 33 Ensuring the Correctness and Well Modeling of Intelligent Healthcare Management Systems
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    Chapter 34 An Embedded ANN Raspberry PI for Inertial Sensor Based Human Activity Recognition
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    Chapter 35 Human Activities Recognition in Android Smartphone Using WSVM-HMM Classifier
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    Chapter 36 Mobile Assistive Application for Blind People in Indoor Navigation
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    Chapter 37 Older People’s Needs and Opportunities for Assistive Technologies
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    Chapter 38 Towards a Formal Context-Aware Workflow Model for Ambient Environment
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    Chapter 39 The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being
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    Chapter 40 ForeSight - An AI-driven Smart Living Platform, Approach to Add Access Control to openHAB
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Citations

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Title
The Impact of Digital Technologies on Public Health in Developed and Developing Countries
Published by
Lecture notes in computer science, January 2020
DOI 10.1007/978-3-030-51517-1
ISBNs
978-3-03-051516-4, 978-3-03-051517-1
Editors

Jmaiel, Mohamed, Mokhtari, Mounir, Abdulrazak, Bessam, Aloulou, Hamdi, Kallel, Slim

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X Demographics

The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 March 2023.
All research outputs
#1,348,575
of 25,383,344 outputs
Outputs from Lecture notes in computer science
#182
of 8,152 outputs
Outputs of similar age
#31,969
of 473,113 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 25 outputs
Altmetric has tracked 25,383,344 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 473,113 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.