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Martin Gleize

Showing results (1-10 of 7) with videos related to

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Studies in Health Technology and Informatics|May 27, 2021
Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online TrendsMartin Gleize, Natasha Mulligan, Alessandro Di Bari, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health DataYoonyoung Park, Natasha Mulligan, Martin Gleize, et al.
Studies in Health Technology and Informatics|November 23, 2020
Exploring the Social Drivers of Health During a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19Joao H Bettencourt-Silva, Natasha Mulligan, Charles Jochim, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking CessationFrancesca Bonin, Martin Gleize, Yufang Hou, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word EmbeddingDebasis Ganguly, Martin Gleize, Yufang Hou, et al.
Wellcome Open Research|May 23, 2024
Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change ProjectRobert West, Francesca Bonin, James Thomas, et al.
Nature|March 18, 2021
An autonomous debating systemNoam Slonim, Yonatan Bilu, Carlos Alzate, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|May 27, 2021
Social Determinant Trends of COVID-19: An Analysis Using Knowledge Graphs from Published Evidence and Online TrendsMartin Gleize, Natasha Mulligan, Alessandro Di Bari, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health DataYoonyoung Park, Natasha Mulligan, Martin Gleize, et al.
Studies in Health Technology and Informatics|November 23, 2020
Exploring the Social Drivers of Health During a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19Joao H Bettencourt-Silva, Natasha Mulligan, Charles Jochim, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking CessationFrancesca Bonin, Martin Gleize, Yufang Hou, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word EmbeddingDebasis Ganguly, Martin Gleize, Yufang Hou, et al.
Wellcome Open Research|May 23, 2024
Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change ProjectRobert West, Francesca Bonin, James Thomas, et al.
Nature|March 18, 2021
An autonomous debating systemNoam Slonim, Yonatan Bilu, Carlos Alzate, et al.
Pageof 1