Using Big Data and Machine Learning for Multilayered Surveillance for Healthy Food Environment and Diet-Reference-Cited by-同舟云学术

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Using Big Data and Machine Learning for Multilayered Surveillance for Healthy Food Environment and Diet

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Belkhiria Fares¹,Nie Jian-Yun²,Paquet Catherine³,Sengupta Raja⁴,Gieschen Antonia⁵,Talukder Byomkesh⁶,Brown Shawn⁷,Dube Laurette¹

Affiliation:

1. McGill University,Desautels Faculty of Management,Montreal,Canada

2. Universite de Montreal,DIRO – RALI,Montreal,Canada

3. Universite Laval,Department of Marketing,Quebec City,Canada

4. McGill University Montreal,Department of Geography,Canada

5. University of Edinburgh,Edinburgh,United Kingdom

6. York University,Dahdaleh Institute for Global Health Research

7. Hewlett Packard Enterprise,Pittsburg,United States

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020762.pdf?arnumber=10020762

Reference48 articles.

1. Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death

2. SynthEco: A digital system for analyzing complex human behavior in its multilayered and dynamic environment;dubé;the SMART Healthy Cities Training Platform Annual Conference Ottawa Canada,2022

3. A Synthetic Population for Modelling the Dynamics of Infectious Disease Transmission in American Samoa

4. Neighbourhood food environments revisited: When food deserts meet food swamps

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