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  5. BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
 
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BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment

Author(s)
Diou, Christos  
Sarafis, Ioannis  
Papapanagiotou, Vasileios  
Nguyen, Thien-An Ngoc  
Kechadi, Tahar  
O'Donnell, Shane  
Doyle, Gerardine  
et al.  
Uri
http://hdl.handle.net/10197/12044
Date Issued
2020-07-24
Date Available
2021-03-12T12:28:44Z
Abstract
Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural and urban context of individuals. Many obesity prevention strategies and policies, however, are horizontal measures that do not depend on context-specific evidence. In this paper we present an overview of BigO (http://bigoprogram.eu), a system designed to collect objective behavioral data from children and adolescent populations as well as their environment in order to support public health authorities in formulating effective, context-specific policies and interventions addressing childhood obesity. We present an overview of the data acquisition, indicator extraction, data exploration and analysis components of the BigO system, as well as an account of its preliminary pilot application in 33 schools and 2 clinics in four European countries, involving over 4,200 participants.
Sponsorship
European Commission
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Copyright (Published Version)
2020 IEEE
Subjects

Machine Learning & St...

Obesity

Pediatrics

Smartphones

Datamining

DOI
10.1109/EMBC44109.2020.9175361
Web versions
https://embc.embs.org/2020/
Language
English
Status of Item
Peer reviewed
Journal
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020
Conference Details
The 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), EMBS Virtual Academy, 20-24 July 2020
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

insight_publication.pdf

Size

867.01 KB

Format

Adobe PDF

Checksum (MD5)

c9fd0f46437a7dbf9afe422d88875608

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection•
Geary Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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