Search Results - "Emam, Khaled El"

Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders by Norris, Mark L., Obeid, Nicole, El‐Emam, Khaled

“…Objective To provide a brief overview of artificial intelligence (AI) application within the field of eating disorders (EDs) and propose focused solutions for…”
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Evaluating the utility of synthetic COVID-19 case data by El Emam, Khaled, Mosquera, Lucy, Jonker, Elizabeth, Sood, Harpreet

“…Concerns about patient privacy have limited access to COVID-19 datasets. Data synthesis is one approach for making such data broadly available to the research…”
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Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation by El Emam, Khaled, Mosquera, Lucy, Bass, Jason

“…There has been growing interest in data synthesis for enabling the sharing of data for secondary analysis; however, there is a need for a comprehensive privacy…”
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The use of electronic data capture tools in clinical trials: Web-survey of 259 Canadian trials by El Emam, Khaled, Jonker, Elizabeth, Sampson, Margaret, Krleza-Jerić, Karmela, Neisa, Angelica

“…Electronic data capture (EDC) tools provide automated support for data collection, reporting, query resolution, randomization, and validation, among other…”
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Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation by Klement, William, El Emam, Khaled

“…The reporting of machine learning (ML) prognostic and diagnostic modeling studies is often inadequate, making it difficult to understand and replicate such…”
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Optimizing the synthesis of clinical trial data using sequential trees by Emam, Khaled El, Mosquera, Lucy, Zheng, Chaoyi

“…With the growing demand for sharing clinical trial data, scalable methods to enable privacy protective access to high-utility data are needed. Data synthesis…”
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Anonymising and sharing individual patient data by El Emam, Khaled, Rodgers, Sam, Malin, Bradley

“…There is a strong movement to share individual patient data for secondary purposes, particularly for research. A major obstacle to broad data sharing has been…”
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A Review of Evidence on Consent Bias in Research by Emam, Khaled El, Jonker, Elizabeth, Moher, Ester, Arbuckle, Luk

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Theory of relative defect proneness: Replicated studies on the functional form of the size-defect relationship by Koru, A. Güneş, Emam, Khaled El, Zhang, Dongsong, Liu, Hongfang, Mathew, Divya

“…In this study, we investigated the functional form of the size-defect relationship for software modules through replicated studies conducted on ten open-source…”
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A systematic review of re-identification attacks on health data by El Emam, Khaled, Jonker, Elizabeth, Arbuckle, Luk, Malin, Bradley

“…Privacy legislation in most jurisdictions allows the disclosure of health data for secondary purposes without patient consent if it is de-identified. Some…”
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How strong are passwords used to protect personal health information in clinical trials? by El Emam, Khaled, Moreau, Katherine, Jonker, Elizabeth

“…Findings and statements about how securely personal health information is managed in clinical research are mixed. The objective of our study was to evaluate…”
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De-identifying a public use microdata file from the Canadian national discharge abstract database by El Emam, Khaled, Paton, David, Dankar, Fida, Koru, Gunes

“…The Canadian Institute for Health Information (CIHI) collects hospital discharge abstract data (DAD) from Canadian provinces and territories. There are many…”
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An evaluation of the replicability of analyses using synthetic health data by El Emam, Khaled, Mosquera, Lucy, Fang, Xi, El-Hussuna, Alaa

“…Synthetic data generation is being increasingly used as a privacy preserving approach for sharing health data. In addition to protecting privacy, it is…”
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Protecting Privacy Using k-Anonymity by El Emam, Khaled, Dankar, Fida Kamal

“…There is increasing pressure to share health information and even make it publicly available. However, such disclosures of personal health information raise…”
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Validating a membership disclosure metric for synthetic health data by Emam, Khaled El, Mosquera, Lucy, Fang, Xi

“…Abstract Background One of the increasingly accepted methods to evaluate the privacy of synthetic data is by measuring the risk of membership disclosure. This…”
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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 by Cole, Katherine Marie, McGee, Sharon, Clemons, Mark, Liu, Michelle, MacDonald, Fiona, Vandermeer, Lisa, Ng, Terry L., Pond, Gregory, Emam, Khaled El

“…Purpose Vasomotor symptoms (VMS) are common among individuals with breast cancer (BC) and poorly managed symptoms are associated with reduced quality of life,…”
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Measuring re-identification risk using a synthetic estimator to enable data sharing by Jiang, Yangdi, Mosquera, Lucy, Jiang, Bei, Kong, Linglong, El Emam, Khaled

“…Background One common way to share health data for secondary analysis while meeting increasingly strict privacy regulations is to de-identify it. To…”
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Biomedical data privacy: problems, perspectives, and recent advances by Malin, Bradley A, Emam, Khaled El, O'Keefe, Christine M

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Who's using PDAs? Estimates of PDA use by health care providers: a systematic review of surveys by Garritty, Chantelle, El Emam, Khaled

“…Personal digital assistants (PDAs) find many uses in health care. Knowing rates of collective PDA use among health care providers is an important guiding step…”
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Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study by El Emam, Khaled, Mosquera, Lucy, Fang, Xi, El-Hussuna, Alaa

“…A regular task by developers and users of synthetic data generation (SDG) methods is to evaluate and compare the utility of these methods. Multiple utility…”
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