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Evangelia Kyrimi

Showing results (1-10 of 20) with videos related to

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BMJ Health & Care Informatics|October 18, 2019
LAGOS: learning health systems and how they can integrate with patient careScott McLachlan, Kudakwashe Dube, Evangelia Kyrimi, et al.
Artificial Intelligence in Medicine|March 8, 2020
An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision makingEvangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, et al.
Health Informatics Journal|March 19, 2020
Towards standardisation of evidence-based clinical care process specificationsScott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, et al.
Artificial Intelligence in Medicine|August 24, 2020
Bayesian networks in healthcare: Distribution by medical conditionScott McLachlan, Kudakwashe Dube, Graham A Hitman, et al.
Artificial Intelligence in Medicine|June 15, 2021
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and futureEvangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, et al.
Journal of Biomedical Informatics|July 4, 2020
Medical idioms for clinical Bayesian network developmentEvangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, et al.
Cancer Medicine|September 20, 2018
Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registryStéphanie Goujon, Evangelia Kyrimi, Laure Faure, et al.
Artificial Intelligence in Medicine|May 22, 2021
Bayesian networks in healthcare: What is preventing their adoption?Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, et al.
Studies in Health Technology and Informatics|June 24, 2020
Data Visualisation in Midwifery: The Challenge of Seeing what Datasets HideBridget J Daley, Evangelia Kyrimi, Kudakwashe Dube, et al.
International Journal of Medical Informatics|November 12, 2024
Counterfactual reasoning using causal Bayesian networks as a healthcare governance toolEvangelia Kyrimi, Somayyeh Mossadegh, Jared M Wohlgemut, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
BMJ Health & Care Informatics|October 18, 2019
LAGOS: learning health systems and how they can integrate with patient careScott McLachlan, Kudakwashe Dube, Evangelia Kyrimi, et al.
Artificial Intelligence in Medicine|March 8, 2020
An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision makingEvangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, et al.
Health Informatics Journal|March 19, 2020
Towards standardisation of evidence-based clinical care process specificationsScott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, et al.
Artificial Intelligence in Medicine|August 24, 2020
Bayesian networks in healthcare: Distribution by medical conditionScott McLachlan, Kudakwashe Dube, Graham A Hitman, et al.
Artificial Intelligence in Medicine|June 15, 2021
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and futureEvangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, et al.
Journal of Biomedical Informatics|July 4, 2020
Medical idioms for clinical Bayesian network developmentEvangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, et al.
Cancer Medicine|September 20, 2018
Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registryStéphanie Goujon, Evangelia Kyrimi, Laure Faure, et al.
Artificial Intelligence in Medicine|May 22, 2021
Bayesian networks in healthcare: What is preventing their adoption?Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, et al.
Studies in Health Technology and Informatics|June 24, 2020
Data Visualisation in Midwifery: The Challenge of Seeing what Datasets HideBridget J Daley, Evangelia Kyrimi, Kudakwashe Dube, et al.
International Journal of Medical Informatics|November 12, 2024
Counterfactual reasoning using causal Bayesian networks as a healthcare governance toolEvangelia Kyrimi, Somayyeh Mossadegh, Jared M Wohlgemut, et al.
Pageof 2