Luk Arbuckle
Luk Arbuckle
Electronic Health Information Lab, CHEO Research Institute
Verified email at - Homepage
Cited by
Cited by
A systematic review of re-identification attacks on health data
K El Emam, E Jonker, L Arbuckle, B Malin
PloS one 6 (12), e28071, 2011
Anonymizing health data: case studies and methods to get you started
K El Emam, L Arbuckle
" O'Reilly Media, Inc.", 2013
Ethics and privacy implications of using the internet and social media to recruit participants for health research: A privacy-by-design framework for online recruitment
JL Bender, AB Cyr, L Arbuckle, LE Ferris
Journal of medical Internet research 19 (4), e104, 2017
De-identification methods for open health data: the case of the Heritage Health Prize claims dataset
K El Emam, L Arbuckle, G Koru, B Eze, L Gaudette, E Neri, S Rose, ...
Journal of medical Internet research 14 (1), e33, 2012
A secure distributed logistic regression protocol for the detection of rare adverse drug events
K El Emam, S Samet, L Arbuckle, R Tamblyn, C Earle, M Kantarcioglu
Journal of the American Medical Informatics Association 20 (3), 453-461, 2013
A review of evidence on consent bias in research
KE Emam, E Jonker, E Moher, L Arbuckle
The American Journal of Bioethics 13 (4), 42-44, 2013
A unified framework for evaluating the risk of re-identification of text de-identification tools
M Scaiano, G Middleton, L Arbuckle, V Kolhatkar, L Peyton, M Dowling, ...
Journal of biomedical informatics 63, 174-183, 2016
The five safes of risk-based anonymization
L Arbuckle, F Ritchie
IEEE Security & Privacy 17 (5), 84-89, 2019
Building an anonymization pipeline: creating safe data
L Arbuckle, K El Emam
O'Reilly Media, 2020
Two h-index benchmarks for evaluating the publication performance of medical informatics researchers
K El Emam, L Arbuckle, E Jonker, K Anderson
Journal of Medical Internet Research 14 (5), e2177, 2012
Ethical considerations for participatory health through social media: healthcare workforce and policy maker perspectives
O Rivera-Romero, S Konstantinidis, K Denecke, E Gabarrón, C Petersen, ...
Yearbook of medical informatics 29 (01), 071-076, 2020
Re-identification risk measurement estimation of a dataset
M Scaiano, S Korte, A Baker, G Green, K El Emam, L Arbuckle
US Patent 10,685,138, 2020
System and method for shifting dates in the de-identification of datasets
K El Emam, L Arbuckle, B Eze, G Green
US Patent 9,773,124, 2017
Method of re-identification risk measurement and suppression on a longitudinal dataset
A Baker, L Arbuckle, K El Emam, B Eze, S Korte, S Rose, C Ilie
US Patent 9,990,515, 2018
Secure surveillance of antimicrobial resistant organism colonization or infection in Ontario long term care homes
K El Emam, L Arbuckle, A Essex, S Samet, B Eze, G Middleton, ...
PLoS One 9 (4), e93285, 2014
Correction: a systematic review of re-identification attacks on health data
K El Emam, E Jonker, L Arbuckle, B Malin
PLoS One 10 (4), e0126772, 2015
P2P watch: personal health information detection in peer-to-peer file-sharing networks
M Sokolova, K El Emam, L Arbuckle, E Neri, S Rose, E Jonker
Journal of medical internet research 14 (4), e95, 2012
Montreal Accord on Patient-Reported Outcomes (PROs) use series–Paper 9: anonymization and ethics considerations for capturing and sharing patient reported outcomes
L Arbuckle, E Moher, SJ Bartlett, S Ahmed, K El Emam
Journal of Clinical Epidemiology 89, 168-172, 2017
De-identification: a critical debate
K El Emam, L Arbuckle
Future of Privacy Forum, 2014
The Seven States of Data: When is Pseudonymous Data Not Personal Information?
K El Emam, E Gratton, J Polonetsky, L Arbuckle
Journal of Science & Technology 24 (1), 2013
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