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Welcome to the Electronic Health Information Laboratory website!
To find out more about Khaled El Emam, the lab's senior investigator,
click here.
To find out more about what we do, click here.
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Upcoming Webinar: Rescuing Low Accrual Clinical Trials with Generative Models
Join us on March 19, for an engaging discussion of how generative models can be used to simulate patients in low accruing trials..
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Recording available for "How Canadian Regulators Approach De-Identification: An Interview Study"
Lisa Pilgram and Khaled El Emam explore Canadian privacy regulators' perspectives on anonymization.
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Synthetic Data Augmentation for Mitigating Bias
See how bias was mitigated in this study by generating synthetic individuals in the minority groups to rebalance the distributions.
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Webinar Recording: What not to do when publishing a machine learning modeling study
Dr. Khaled El Emam distills key learnings about publishing studies utilizing machine learning models.
Click here to access the materials.
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Examining the role of AI to advance knowledge in eating disorders
This paper provides an overview of artificial intelligence application within the field of eating disorders (ED) and its ability to combat commonly encountered challenges in ED research.
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Evaluating the utility & privacy of synthetic oncology data
This study shows how synthetic data using sequential synthesis methods can act as a proxy for real clinical trial data sets while protecting patient privacy.
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