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BMC Research Notes
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June 27, 2022
dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system
Soumya Banerjee, Tom R P Bishop
BMC Research Notes
|
June 6, 2023
dsSurvival 2.0: privacy enhancing survival curves for survival models in the federated DataSHIELD analysis system
Soumya Banerjee, Tom R P Bishop
Health & Place
|
December 6, 2023
Assessing the healthiness of menus of all out-of-home food outlets and its socioeconomic patterns in Great Britain
Yuru Huang, Thomas Burgoine, Tom R P Bishop, et al.
Applied Geography (Sevenoaks, England)
|
August 4, 2021
Socioeconomic inequalities in food outlet access through an online food delivery service in England: A cross-sectional descriptive analysis
Matthew Keeble, Jean Adams, Tom R P Bishop, et al.
Machine Learning with Applications
|
January 3, 2022
Automatic classification of takeaway food outlet cuisine type using machine (deep) learning
Tom R P Bishop, Stephanie von Hinke, Bruce Hollingsworth, et al.
JMIR Public Health and Surveillance
|
September 8, 2022
Monitoring the Nutrient Composition of Food Prepared Out-of-Home in the United Kingdom: Database Development and Case Study
Yuru Huang, Thomas Burgoine, Michael Essman, et al.
BMC Research Notes
|
June 6, 2022
dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD
Soumya Banerjee, Ghislain N Sofack, Thodoris Papakonstantinou, et al.
Nutrition Journal
|
April 11, 2025
Neighbourhood out-of-home food environment, menu healthiness, and their associations with meal purchasing and diet quality: a multiverse analysis
Yuru Huang, Thomas Burgoine, Christine M White, et al.
Nature Human Behaviour
|
November 26, 2024
Evaluating the association between the introduction of mandatory calorie labelling and energy consumed using observational data from the out-of-home food sector in England
Megan Polden, Andrew Jones, Michael Essman, et al.
Bioinformatics (Oxford, England)
|
December 14, 2024
MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD
Tim Cadman, Mariska K Slofstra, Marije A van der Geest, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
BMC Research Notes
|
June 27, 2022
dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system
Soumya Banerjee, Tom R P Bishop
BMC Research Notes
|
June 6, 2023
dsSurvival 2.0: privacy enhancing survival curves for survival models in the federated DataSHIELD analysis system
Soumya Banerjee, Tom R P Bishop
Health & Place
|
December 6, 2023
Assessing the healthiness of menus of all out-of-home food outlets and its socioeconomic patterns in Great Britain
Yuru Huang, Thomas Burgoine, Tom R P Bishop, et al.
Applied Geography (Sevenoaks, England)
|
August 4, 2021
Socioeconomic inequalities in food outlet access through an online food delivery service in England: A cross-sectional descriptive analysis
Matthew Keeble, Jean Adams, Tom R P Bishop, et al.
Machine Learning with Applications
|
January 3, 2022
Automatic classification of takeaway food outlet cuisine type using machine (deep) learning
Tom R P Bishop, Stephanie von Hinke, Bruce Hollingsworth, et al.
JMIR Public Health and Surveillance
|
September 8, 2022
Monitoring the Nutrient Composition of Food Prepared Out-of-Home in the United Kingdom: Database Development and Case Study
Yuru Huang, Thomas Burgoine, Michael Essman, et al.
BMC Research Notes
|
June 6, 2022
dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD
Soumya Banerjee, Ghislain N Sofack, Thodoris Papakonstantinou, et al.
Nutrition Journal
|
April 11, 2025
Neighbourhood out-of-home food environment, menu healthiness, and their associations with meal purchasing and diet quality: a multiverse analysis
Yuru Huang, Thomas Burgoine, Christine M White, et al.
Nature Human Behaviour
|
November 26, 2024
Evaluating the association between the introduction of mandatory calorie labelling and energy consumed using observational data from the out-of-home food sector in England
Megan Polden, Andrew Jones, Michael Essman, et al.
Bioinformatics (Oxford, England)
|
December 14, 2024
MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD
Tim Cadman, Mariska K Slofstra, Marije A van der Geest, et al.
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of 2