Work

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

Year: 2022

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata55660.2022.10020762

Authors: Fares Belkhiria, Jian-Yun Nie, Catherine Paquet, Raja Sengupta, Antonia Gieschen, Byomkesh Talukder, Shawn Brown, Laurette Dube

Institutions: McGill University, Université de Montréal, Université Laval, University of Edinburgh, York University, York University, University of York, Hewlett Packard Enterprise (United States)

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Zero hunger

Open Access status: closed

Funder: HORIZON EUROPE Health

OpenAlex ID: W4318147779

FWCI: 1.161

Cites: 44

Cited by: 5

Related to: 10