Scott McLachlan
Scott McLachlan
Queen Mary University of London
Verified email at mclachlandigital.com
Title
Cited by
Cited by
Year
Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record
J Walonoski, M Kramer, J Nichols, A Quina, C Moesel, D Hall, C Duffett, ...
Journal of the American Medical Informatics Association, 2017
632017
The delivery of preventive care to clients of community health services
K McElwaine, M Freund, J Campbell, Elizabeth Knight, J Bowman, ...
BMJ Health Services Research 13 (1), 2013
292013
The Heimdall framework for supporting characterisation of learning health systems
S McLachlan, H Potts, K Dube, D Buchanan, S Lean, T Gallagher, ...
Journal of Innovation in Health Informatics 25 (2), 2018
232018
Using the caremap with health incidents statistics for generating the realistic synthetic electronic healthcare record
S McLachlan, K Dube, T Gallagher
2016 IEEE International Conference on Healthcare Informatics (ICHI), 439-448, 2016
212016
COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing
NE Fenton, M Neil, M Osman, S McLachlan
Journal of Risk Research, 1-4, 2020
102020
Learning Health Systems: The research community awareness challenge.
S McLachlan, K Dube, D Buchanan, S Lean, O Johnson, H Potts, ...
J Innov Health Inform, 2018
102018
A framework for analysing learning health systems: Are we removing the most impactful barriers?
S McLachlan, K Dube, O Johnson, D Buchanan, HWW Potts, T Gallagher, ...
Learning health systems 3 (4), e10189, 2019
82019
Realism in synthetic data generation: a thesis presented in fulfilment of the requirements for the degree of Master of Philosophy in Science, School of Engineering and Advanced …
S McLachlan
Massey University, 2017
82017
Clinical Caremap Development: How can caremaps standardise care when they are not standardised?
S McLachlan, E Kyrimi, N FENTON, K Dube
62019
Bayesian Network Analysis of Covid-19 data reveals higher Infection Prevalence Rates and lower Fatality Rates than widely reported
M Neil, N Fenton, M Osman, S McLachlan
medRxiv, 2020
52020
Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetes
B Daley, G Hitman, N Fenton, S McLachlan
BMJ open 9 (6), e027285, 2019
52019
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?
S McLachlan, P Lucas, K Dube, GA Hitman, M Osman, E Kyrimi, M Neil, ...
arXiv preprint arXiv:2005.06621, 2020
42020
The fundamental limitations of COVID-19 contact tracing methods and how to resolve them with a Bayesian network approach
S McLachlan, P Lucas, K Dube, GS McLachlan, GA Hitman, M Osman, ...
42020
The ATEN Framework for creating the realistic synthetic electronic health record
S McLachlan, K Dube, T Gallagher, B Daley, J Walonoski
42018
Medical idioms for clinical Bayesian network development
E Kyrimi, MR Neves, S McLachlan, M Neil, W Marsh, N Fenton
Journal of Biomedical Informatics 108, 103495, 2020
32020
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
E Kyrimi, S McLachlan, K Dube, MR Neves, A Fahmi, N Fenton
arXiv preprint arXiv:2002.08627, 2020
32020
Bayesian Networks in Healthcare: the chasm between research enthusiasm and clinical adoption
E Kyrimi, S McLachlan, K Dube, N Fenton
medRxiv, 2020
32020
Bayesian Networks in Healthcare: Distribution by Medical Condition
S McLachlan, K Dube, GA Hitman, N Fenton, E Kyrimi
Artificial Intelligence in Medicine, 101912, 2020
22020
Predicted by Orwell: A discourse on the gradual shift in electronic surveillance law
S McLachlan
arXiv preprint arXiv:2004.11594, 2020
22020
Causal explanations, error rates, and human judgment biases missing from the COVID-19 narrative and statistics
N Fenton, GA Hitman, M Neil, M Osman, S McLachlan
PsyArXiv, 2020
22020
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