-
K.M. Cole, S. McGee, M. Clemons, M. Liu, F. MacDonald, L. Vandermeer, T.L. Ng, G. Pond, K. El Emam, "Development and application of a weighted change score to evaluate interventions for vasomotor symptoms in patients with breast cancer using regression trees: A cohort study", Breast Cancer Research and Treatment 207: 313-21, 2024.
-
M. Norris, N. Obeid, K. El Emam, "Examining the Role of Artificial Intelligence to Advance Knowledge and Address Barriers to Research in Eating Disorders" International Journal of Eating Disorders 57(6): 1357-68, 2024.
-
E. Karimian Sichani, A. Smith, K. El Emam, L. Mosquera, “Creating High-Quality Synthetic Health Data: A Framework for Model Development and Validation” JMIR Formative Research 8: e53241, 2024.
-
K. El Emam, X. Fang, L. Mosquera, A. El-Hussuna: “An Evaluation of the Replicability of Analyses Using Synthetic Health Data”, Scientific Reports 14: 6978, 2024.
-
A. Beltran-Bless, M. Clemons, L. Vandermeer, K. El Emam, T. L. Ng, S. McGee, A. Ali Awan, G. Pond, J. Renaud, G. Barton, B. Hutton, M-F. Savard: "The REthinking Clinical Trials Program Retreat 2023: creating partnerships to optimize quality cancer care", Current Oncology 31(3): 1376-1388, 2024.
-
L. Juwara, A. El-Hussuna, K. El Emam, “An evaluation of synthetic data augmentation for mitigating covariate bias in health data” Patterns 5(1): 100946, 2024.
-
P. Alipour, Z. Azizi, V. Raparelli, C.M. Norris, A. Kautzky-Willer, K. Kublickiene, M.T. Herrero, K. El Emam, P. Vollenweider, M. Preisig, C. Clair, L. Pilote, “Role of Sex and Gender-Related Variables in Development of Metabolic Syndrome: A Prospective Cohort Study” European Journal of Internal Medicine, 121: 63-75, 2024.
- S. El Kababji, N. Mitsakakis, X. Fang, A.Beltran-Bless, G. Pond, L. Vandermeer, D. Radhakrishnan, L. Mosquera, A. Paterson, L. Shepherd, B. Chen, W. Barlow, J. Gralow, M-F Savard, M. Clemons, K. El Emam: “Evaluating the Utility and Privacy of Synthetic Breast Cancer Clinical Trial Datasets," JCO Clinical Cancer Informatics 7: e2300116, 2023.
- N. Shaver, M. Katz, G. Darko Asamoah, L-A. Linkins, W. Abdelkader, A. Beck, A. Bennett, S.E. Hughes, M. Smith, M. Begin, D. Coyle, T. Piggott, B.M. Kagina, V. Welch, C. Colijn, D.J.D. Earn, K. El Emam, J. Heffernan, S.F. O'Brien, K. Wilson, E. Collins, T. Navarro, J. Beyene, I. Boutron, D. Bowdish, C. Cooper, A. Costa, J. Curran, L. Griffith, A. Hsu, J. Grimshaw, M-A. Langlois, X. Li, A. Pham-Huy, P. Raina, M. Rubini, L. Thabane, H. Wang, L. Xu, M. Brouwers, T. Horsley, J. Lavis, A. Iorio, J. Little: “Protocol for a living evidence synthesis on variants of concern and COVID-19 vaccine effectiveness”, Vaccine 41(43): 6411-6418, 2023.
- W. Klement and K. El Emam: "Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation”, Journal of Medical Internet Research 25: e48763, 2023.
- Z. Azizi, S. Lindner, Y. Shiba, V. Raparelli, C.M. Norris, K. Kublickiene, M.T. Herrero, A. Kautzky-Willer, P. Klimek, T. Gisinger, L. Pilote, K. El Emam: "A comparison of synthetic data generation and federated analysis for enabling international evaluations of cardiovascular health". Scientific Reports 13: 11540, 2023.
- K. El Emam: "Status of Synthetic Data Generation for Structured Health Data", JCO Clinical Cancer Informatics 7 (2023): e2300071, June 30, 2023.
-
L. Mosquera, K. El Emam, L. Ding, V. Sharma, XH Zhang, S. Kababji, C. Carvalho, B. Hamilton, D. Palfrey, L. Kong, B. Jiang, D.T. Eurich: “A Method for Generating Synthetic Longitudinal Health Data”, BMC Medical Research Methodology 23(1): 67, 2023.
-
T. Gisinger, Z. Azizi, P. Alipour, J. Harreiter, V. Raparelli, K. Kublickiene, M.T. Herrero, C.M. Norris, K. El Emam, L. Pilote, A. Kautzky-Willer: “Sex and gender aspects in diabetes mellitus: Focus on access to health care and cardiovascular outcomes”, Frontiers in Public Health 11: 172, 2023.
-
A. Sepas, A. Haider Bangash, O. Alraoui, K. El Emam and A. El-Hussuna: "Algorithms to anonymize structured medical and healthcare data: A systematic review", Frontiers in Bioinformatics December 22, 2022.
-
JF. Rajotte, R. Bergen, D.L. Buckeridge, K. El Emam, R. Ng, E. Strome: "Synthetic data as an enabler for machine learning applications in medicine", iScience 25(11): 105331, 2022.
-
K. El Emam, L. Mosquera, X, Fang: "Validating A Membership Disclosure Metric For Synthetic Health Data", JAMIA Open 5(4): ooac083, December 2022.
-
Y. Jiang, L. Mosquera, B. Jiang, L. Kong, and K. El Emam: “Measuring re-identification risk using a synthetic estimator to enable data sharing” PLOS One 17(6): e0269097, 2022.
-
Z. Azizi, Y. Shiba, P. Alipour, F. Maleki, V. Raparelli, C. Norris, R. Forghani, L. Pilote, K. El Emam, and the GOING FWD Investigators: “The Importance of Sex and Gender Factors for COVID-19 infection and hospitalisation: A Sex-stratified Analysis Using Machine Learning in UK Biobank Data”, BMJ Open 12:e050450 2022.
-
K.M. Cole, M. Clemons, S.F. McGee, M. Alzahrani, G. Larocque, F. MacDonald, M. Liu, G.R. Pond, L. Mosquera, L. Vandermeer, B. Hutton, A. Piper, R. Fernandes & K. El Emam: “Using machine learning to predict individual patient toxicities from cancer treatments”, Supportive Care in Cancer, 25 May 2022.
- K. El Emam, L. Mosquera, X. Fang, and A. El-Hussuna: “Utility Metrics for Evaluating Synthetic Health Data Generation Methods: A Validation Study”, JMIR Medical Informatics 10(4):e35734, 2022.
- K.M. Cole, M. Clemons, M. Alzahrani, M. Liu, G. Larocque, F. MacDonald, B. Hutton, A. Piper, R. Fernandes, G.R. Pond, L. Vandermeer, K. El Emam, S.F. McGee: “Vasomotor Symptoms in Early Breast Cancer- A 'Real World' Exploration of the Patient Experience”, Supportive Care in Cancer 30: 4437-4446, 2022.
- M.N. Kamel Boulos, M-P. Kwan, K. El Emam, A.L-L. Chung, S. Gao, D.B. Richardson: “Reconciling public health common good and individual privacy: new methods and issues in geoprivacy”, International Journal of Health Geographics 21:1, 2022.
- A.M. Mallon, D.A. Häring, F. Dahlke, P. Aarden, S. Afyouni, D. Delbarre, K. El Emam, H. Ganjgahi, S. Gardiner, C. Hei Kwok, D.M. West, E. Straiton, S. Haemmerle, A. Huffman, T. Hofmann, L.J. Kelly, P. Krusche, M.C. Laramee, K. Lheritier, G. Ligozio, A. Readie, L. Santos, T.E. Nichols, J. Branson and C. Holmes: “Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis” BMC Medical Research Methodology 21:250, 2021.
- V. Raparelli, C.M. Norris, U. Bender, M.T. Herrero, A. Kautzky –Willer, K. Kublickiene, K. El Emam, L. Pilote and the GOING‑FWD Collaborators: “Identification and inclusion of gender factors in retrospective cohort studies:the GOING-FWD framework”, BMJ Global Health 6:e005413, 2021.
- Z. Azizi, T. Gisinger, U. Bender, C. Deischinger, V. Raparelli, C.M. Norris, RN, K. Kublickiene, M.T. Herreror, K. El Emam, A. Kautzky-Willer, L. Pilote, and the GOING-FWD Investigators: “Sex, Gender Factors and Cardiovascular Health in Canadian and Austrian populations”, Canadian Journal of Cardiology 37(8): 1240-47, 2021.
- Z. Azizi, M. Zheng, L. Mosquera, L. Pilote, K. El Emam: “Can synthetic data be a proxy for real clinical trial data? A validation study”, BMJ Open 11:e043497, 2021.
- K. El Emam, L. Mosquera, E. Jonker, H. Sood: “Evaluating the Utility of Synthetic COVID-19 Case Data”, JAMIA Open, 14(1):ooab012, 2021.
- K. El Emam, L. Mosquera, C. Zheng: “Optimizing the Synthesis of Clinical Trial Data Using Sequential Trees”, Journal of the American Medical Informatics Association 28(1): 3-13, 2021.
- K. El Emam, L. Mosquera, J. Bass: “Evaluating Identity Disclosure Risk in Fully Synthetic Health Data”, Journal of Medical Internet Research 22(11), 2020.
- W. Parker, J.L. Jaremko, M. Cicero, M. Azar, K. El Emam, B.G. Gray, C. Hurrell, F. Lavoie-Cardinal, B. Desjardins, A. Lum, L. Sheremeta, E. Lee, C. Reinhold, A. Tang, R. Bromwich: “Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles”, Canadian Association of Radiologists Journal 72(1):13-24, 2021.
- W. Parker, J.L. Jaremko, M. Cicero, M. Azar, K. El Emam, B.G. Gray, C. Hurrell, F. Lavoie-Cardinal, B. Desjardins, A. Lum, L. Sheremeta, E. Lee, C. Reinhold, A. Tang, R. Bromwich: “Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 2, Practical Considerations”, Canadian Association of Radiologists Journal 72(1):25-34, 2021.
- K. El Emam: “Implementing Privacy Enhancing Technologies in the time of a Pandemic”, Journal of Data Protection and Privacy 3(3), Summer 2020.
- K. El Emam, M. Hintze, R. Boardman: “Does de-identification require consent under the GDPR and English Common Law?” Journal of Data Protection and Privacy 3(3), Summer 2020.
- K. El Emam: “Seven Ways to Evaluate the Utility of Synthetic Data”, IEEE Security and Privacy 18(4): 56-59, July-Aug, 2020.
- J. Branson, N. Good, J. Chen, W. Monge, C. Probst, K. El Emam. “Evaluating the re-identification risk of a clinical study report anonymized under EMA Policy 0070 and Health Canada Regulations”. Trials 21:200, 2020.
- K. El Emam: “Expanding the role of PETs in the data protection and privacy narrative”, Journal of Data Protection and Privacy, 2(3):198-200, 2019.
- M. Hintze and K. El Emam: “Comparing the benefits of pseudonymisation and anonymisation under the GDPR”, Journal of Data Protection and Privacy 2(2):145-158, 2018.
- Anthony L. Vaccarino, Moyez Dharsee, Stephen Strother, Don Aldridge, Stephen R. Arnott, Brendan Behan, Costas Dafnas, Fan Dong, Kenneth Edgecombe, Rachad El-Badrawi, Khaled El-Emam, Tom Gee, Susan G. Evans, Mojib Javadi, Francis Jeanson, Shannon Lefaivre, Kristen Lutz, F. Chris MacPhee, Jordan Mikkelsen, Tom Mikkelsen, Nicholas Mirotchnick, Tanya Schmah, Christa M. Studzinski, Donald T. Stuss, Elizabeth Theriault and Kenneth R. Evans: “Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data”, Frontiers in Neuroinformatics 12: 28, 2018.
- N. Persaud, C. Meaney, K. El Emam, R. Moineddin, K. Thorpe: “Doxylamine-pyridoxine for nausea and vomiting of pregnancy randomized placebo controlled trial: prespecified analyses and reanalysis“. PLOS ONE 13(1): e0189978, 2018.
- G.M. Jacquez, A. Essex, A. Curtis, B. Kohler, R. Sherman, K. El Emam, C. Shi, A. Kaufmann, L. Beale, T. Cusick, D. Goldberg, P. Goovaerts: “Geospatial cryptography: Enabling researchers to access private, spatially referenced, human subjects data for cancer control and prevention“. Journal of Geographic Systems 19(3):197-220, 2017.
- L. Arbuckle, E. Moher. S. Ahmed, S. Bartlett, K. El Emam: “Montreal Accord on Patient-Reported Outcomes Use Series – Paper 9: Anonymization and Ethics Considerations for Capturing and Sharing Patient Reported Outcomes”. Journal of Clinical Epidemiology 89:168-172, 2017.
- K. El Emam: “An Overview of Anonymization Practices in Initial Data Releases Pursuant to EMA Policy 0070”. Applied Clinical Trials April 13, 2017.
- M. Scaiano, G. Middleton, L. Arbuckle, V. Kolhatkar, L. Peyton, M. Dowling, D.S. Gipson, K. El Emam: “A unified framework for evaluating the risk of re-identification of text de-identification tools”. Journal of Biomedical Informatics 63:174-183, 2016.
- K. El Emam: “Medical Data Privacy Handbook, A. Gkoulalas-Divanis, G. Loukides. Springer International Publishing, Switzerland (2015). 832 pp., ISBN: 978-3-319-23633-9″. (Book Review), Journal of Biomedical Informatics 62:106, 2016.
- E. Moher, K. El Emam: “The Ethical Merits of Nudges in the Clinical Setting“. American Journal of Bioethics 15(10):54-5, 2015.
- K. El Emam, H. Farah, S. Samet, A. Essex, E. Jonker, M. Kantarcioglu, C. Earle: “A Privacy Preserving Protocol for Tracking Participants in Phase I Clinical Trials”. Journal of Biomedical Informatics October 2015, 57:145-162.
- K. El Emam, S. Rodgers, B. Malin: “Anonymizing and Sharing Individual Patient Level Data.” BMJ 350:h1139, 2015.
- K. El Emam, K. Abdallah: “De-identifying Clinical Trials Data”. Applied Clinical Trials 24(8), 2015.