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Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders

The International journal of eating disorders, 2024-06, Vol.57 (6), p.1357-1368

2024

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Evaluating the utility of synthetic COVID-19 case data

JAMIA open, 2021-01, Vol.4 (1), p.ooab012-ooab012

2021

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Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation

Journal of medical Internet research, 2020-11, Vol.22 (11), p.e23139-e23139

2020

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Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation

Journal of medical Internet research, 2023-08, Vol.25 (6), p.e48763

2023

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Optimizing the synthesis of clinical trial data using sequential trees

Journal of the American Medical Informatics Association : JAMIA, 2021-01, Vol.28 (1), p.3-13

2021

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Anonymising and sharing individual patient data

BMJ (Online), 2015-03, Vol.350 (mar20 1), p.h1139-h1139

2015

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A systematic review of re-identification attacks on health data

PloS one, 2011-12, Vol.6 (12), p.e28071-e28071

2011

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The use of electronic data capture tools in clinical trials: Web-survey of 259 Canadian trials

Journal of medical Internet research, 2009-03, Vol.11 (1), p.e8-e8

2009

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An evaluation of the replicability of analyses using synthetic health data

Scientific reports, 2024-03, Vol.14 (1), p.6978-6978, Article 6978

2024

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A Review of Evidence on Consent Bias in Research

American journal of bioethics, 2013-04, Vol.13 (4), p.42-44

2013

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Protecting Privacy Using k-Anonymity

Journal of the American Medical Informatics Association : JAMIA, 2008-09, Vol.15 (5), p.627-637

2008

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Theory of relative defect proneness: Replicated studies on the functional form of the size-defect relationship

Empirical software engineering : an international journal, 2008-10, Vol.13 (5), p.473-498

2008

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Validating a membership disclosure metric for synthetic health data

JAMIA open, 2022-12, Vol.5 (4), p.ooac083-ooac083

2022

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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

Breast cancer research and treatment, 2024-09, Vol.207 (2), p.313-321

2024

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How strong are passwords used to protect personal health information in clinical trials?

Journal of medical Internet research, 2011-02, Vol.13 (1), p.e18-e18

2011

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Measuring re-identification risk using a synthetic estimator to enable data sharing

PloS one, 2022-06, Vol.17 (6), p.e0269097-e0269097

2022

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Biomedical data privacy: problems, perspectives, and recent advances

Journal of the American Medical Informatics Association : JAMIA, 2013-01, Vol.20 (1), p.2-6

2013

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Who's using PDAs? Estimates of PDA use by health care providers: a systematic review of surveys

Journal of medical Internet research, 2006-05, Vol.8 (2), p.e7-e7

2006

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Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study

JMIR medical informatics, 2022-04, Vol.10 (4), p.e35734-e35734

2022

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A Replicated Survey of IT Software Project Failures

IEEE software, 2008-09, Vol.25 (5), p.84-90

2008

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Guide to the De-Identification of Personal Health Information

El Emam, Khaled

1, 2013

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Can synthetic data be a proxy for real clinical trial data? A validation study

BMJ open, 2021-04, Vol.11 (4), p.e043497-e043497

2021

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De-identifying a public use microdata file from the Canadian national discharge abstract database

BMC medical informatics and decision making, 2011-08, Vol.11 (1), p.53-53, Article 53

2011

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Introducing JMIR AI

JMIR AI, 2022-09, Vol.1 (1), p.e42046

2022

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Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

Journal of medical Internet research, 2024-05, Vol.26 (10), p.e52508-e52508

2024

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Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders

Evaluating the utility of synthetic COVID-19 case data

Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation

Optimizing the synthesis of clinical trial data using sequential trees

Anonymising and sharing individual patient data

A systematic review of re-identification attacks on health data

The use of electronic data capture tools in clinical trials: Web-survey of 259 Canadian trials

An evaluation of the replicability of analyses using synthetic health data

A Review of Evidence on Consent Bias in Research

Protecting Privacy Using k-Anonymity

Theory of relative defect proneness: Replicated studies on the functional form of the size-defect relationship

Validating a membership disclosure metric for synthetic health data

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

How strong are passwords used to protect personal health information in clinical trials?

Measuring re-identification risk using a synthetic estimator to enable data sharing

Biomedical data privacy: problems, perspectives, and recent advances

Who's using PDAs? Estimates of PDA use by health care providers: a systematic review of surveys

Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study

A Replicated Survey of IT Software Project Failures

Guide to the De-Identification of Personal Health Information

Can synthetic data be a proxy for real clinical trial data? A validation study

De-identifying a public use microdata file from the Canadian national discharge abstract database

Introducing JMIR AI

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

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