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Public Health Nutrition
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February 17, 2016
Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008-12
Philippe J Giabbanelli, Jean Adams
BMC Medical Research Methodology
|
December 16, 2014
Creating groups with similar expected behavioural response in randomized controlled trials: a fuzzy cognitive map approach
Philippe J Giabbanelli, Rik Crutzen
Computational and Mathematical Methods in Medicine
|
April 20, 2017
Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations
Philippe J Giabbanelli, Rik Crutzen
Health Informatics Journal
|
February 22, 2014
Supporting self-management of obesity using a novel game architecture
Philippe J Giabbanelli, Rik Crutzen
Advanced Theory and Simulations
|
April 20, 2022
When Do We Need Massive Computations to Perform Detailed COVID-19 Simulations?
Christopher B Lutz, Philippe J Giabbanelli
Frontiers in Big Data
|
March 7, 2022
An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex Networks
Alexander J Freund, Philippe J Giabbanelli
EPJ Data Science
|
April 9, 2019
Capturing the fast-food landscape in England using large-scale network analysis
Magda Baniukiewicz, Zachariah L Dick, Philippe J Giabbanelli
Frontiers in Big Data
|
August 12, 2022
Editorial: Scalable Network Generation & Analysis
Philippe J Giabbanelli, Samarth Swarup, Renaud Lambiotte, et al.
Vaccines
|
October 27, 2022
A Scoping Review of Three Dimensions for Long-Term COVID-19 Vaccination Models: Hybrid Immunity, Individual Drivers of Vaccinal Choice, and Human Errors
Jack T Beerman, Gwendal G Beaumont, Philippe J Giabbanelli
Computers (Basel, Switzerland)
|
October 23, 2023
Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art
Ryan Schuerkamp, Luke Liang, Ketra L Rice, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
Public Health Nutrition
|
February 17, 2016
Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008-12
Philippe J Giabbanelli, Jean Adams
BMC Medical Research Methodology
|
December 16, 2014
Creating groups with similar expected behavioural response in randomized controlled trials: a fuzzy cognitive map approach
Philippe J Giabbanelli, Rik Crutzen
Computational and Mathematical Methods in Medicine
|
April 20, 2017
Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations
Philippe J Giabbanelli, Rik Crutzen
Health Informatics Journal
|
February 22, 2014
Supporting self-management of obesity using a novel game architecture
Philippe J Giabbanelli, Rik Crutzen
Advanced Theory and Simulations
|
April 20, 2022
When Do We Need Massive Computations to Perform Detailed COVID-19 Simulations?
Christopher B Lutz, Philippe J Giabbanelli
Frontiers in Big Data
|
March 7, 2022
An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex Networks
Alexander J Freund, Philippe J Giabbanelli
EPJ Data Science
|
April 9, 2019
Capturing the fast-food landscape in England using large-scale network analysis
Magda Baniukiewicz, Zachariah L Dick, Philippe J Giabbanelli
Frontiers in Big Data
|
August 12, 2022
Editorial: Scalable Network Generation & Analysis
Philippe J Giabbanelli, Samarth Swarup, Renaud Lambiotte, et al.
Vaccines
|
October 27, 2022
A Scoping Review of Three Dimensions for Long-Term COVID-19 Vaccination Models: Hybrid Immunity, Individual Drivers of Vaccinal Choice, and Human Errors
Jack T Beerman, Gwendal G Beaumont, Philippe J Giabbanelli
Computers (Basel, Switzerland)
|
October 23, 2023
Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art
Ryan Schuerkamp, Luke Liang, Ketra L Rice, et al.
Page
of 3