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Scott McLachlan

Showing results (1-10 of 18) 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.
BMJ Open|June 16, 2019
Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetesBridget Daley, Graham Hitman, Norman Fenton, et al.
Trends in Cognitive Sciences|November 1, 2020
Learning from Behavioural Changes That FailMagda Osman, Scott McLachlan, Norman Fenton, 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.
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.
Artificial Intelligence in Medicine|May 22, 2021
Bayesian networks in healthcare: What is preventing their adoption?Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, et al.
Learning Health Systems|October 24, 2019
A framework for analysing learning health systems: Are we removing the most impactful barriers?Scott McLachlan, Kudakwashe Dube, Owen Johnson, et al.
Pageof 2

Showing results (1-10 of 18) 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.
BMJ Open|June 16, 2019
Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetesBridget Daley, Graham Hitman, Norman Fenton, et al.
Trends in Cognitive Sciences|November 1, 2020
Learning from Behavioural Changes That FailMagda Osman, Scott McLachlan, Norman Fenton, 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.
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.
Artificial Intelligence in Medicine|May 22, 2021
Bayesian networks in healthcare: What is preventing their adoption?Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, et al.
Learning Health Systems|October 24, 2019
A framework for analysing learning health systems: Are we removing the most impactful barriers?Scott McLachlan, Kudakwashe Dube, Owen Johnson, et al.
Pageof 2