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The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

Journal of biomedical informatics, 2021-01, Vol.113, p.103655-103655, Article 103655

2021

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External validation of existing dementia prediction models on observational health data

BMC medical research methodology, 2022-12, Vol.22 (1), p.311-311, Article 311

2022

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Predictive approaches to heterogeneous treatment effects: a scoping review

BMC medical research methodology, 2020-10, Vol.20 (1), p.264-264, Article 264

2020

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Estimating individualized treatment effects from randomized controlled trials: a simulation study to compare risk-based approaches

BMC medical research methodology, 2023-03, Vol.23 (1), p.74-74, Article 74

2023

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Thrombosis and thrombocytopenia after vaccination against and infection with SARS-CoV-2 in the United Kingdom

Nature communications, 2022-11, Vol.13 (1), p.7167-10, Article 7167

2022

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Development and validation of a patient-level model to predict dementia across a network of observational databases

BMC medicine, 2024-07, Vol.22 (1), p.308-12, Article 308

2024

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Declining incidence of sudden cardiac death from 1990–2010 in a general middle-aged and elderly population: The Rotterdam Study

Heart rhythm, 2015, Vol.12 (1), p.123-129

2015

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Normal Values of Corrected Heart-Rate Variability in 10-Second Electrocardiograms for All Ages

Frontiers in physiology, 2018-04, Vol.9, p.424-424

2018

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Normal values of the electrocardiogram for ages 16–90 years

Journal of electrocardiology, 2014-11, Vol.47 (6), p.914-921

2014

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Advancing the use of real world evidence in health technology assessment: insights from a multi-stakeholder workshop

Frontiers in pharmacology, 2023, Vol.14, p.1289365-1289365

2023

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Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability

BMC medical informatics and decision making, 2022-05, Vol.22 (1), p.142-142, Article 142

2022

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Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data

Journal of big data, 2024-12, Vol.11 (1), p.7-17, Article 7

2024

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Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

Journal of medical Internet research, 2022-09, Vol.24 (9), p.e35675-e35675

2022

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Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis

Scientific reports, 2020-07, Vol.10 (1), p.11115-11115, Article 11115

2020

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Factors Influencing Background Incidence Rate Calculation: Systematic Empirical Evaluation Across an International Network of Observational Databases

Frontiers in pharmacology, 2022-04, Vol.13, p.814198-814198

2022

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Parasitic infections related to anti-type 2 immunity monoclonal antibodies: a disproportionality analysis in the food and drug administration’s adverse event reporting system (FAERS)

Frontiers in pharmacology, 2023-11, Vol.14, p.1276340-1276340

2023

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Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets

Journal of big data, 2021-08, Vol.8 (1), p.1-18, Article 108

2021

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Increasing trust in real-world evidence through evaluation of observational data quality

Journal of the American Medical Informatics Association : JAMIA, 2021-10, Vol.28 (10), p.2251-2257

2021

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Characterising the treatment of thromboembolic events after COVID-19 vaccination in 4 European countries and the US: An international network cohort study

Frontiers in pharmacology, 2023-03, Vol.14, p.1118203-1118203

2023

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Validation of automatic measurement of QT interval variability

PloS one, 2017-04, Vol.12 (4), p.e0175087-e0175087

2017

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Finding a short and accurate decision rule in disjunctive normal form by exhaustive search

Machine learning, 2010-07, Vol.80 (1), p.33-62

2010

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Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study

BMJ (Online), 2021-06, Vol.373, p.n1435

2021

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Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

Journal of the American Medical Informatics Association : JAMIA, 2018-08, Vol.25 (8), p.969-975

2018

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The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

External validation of existing dementia prediction models on observational health data

Predictive approaches to heterogeneous treatment effects: a scoping review

Estimating individualized treatment effects from randomized controlled trials: a simulation study to compare risk-based approaches

Thrombosis and thrombocytopenia after vaccination against and infection with SARS-CoV-2 in the United Kingdom

Development and validation of a patient-level model to predict dementia across a network of observational databases

Declining incidence of sudden cardiac death from 1990–2010 in a general middle-aged and elderly population: The Rotterdam Study

Normal Values of Corrected Heart-Rate Variability in 10-Second Electrocardiograms for All Ages

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network

Normal values of the electrocardiogram for ages 16–90 years

Advancing the use of real world evidence in health technology assessment: insights from a multi-stakeholder workshop

Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability

Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data

Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis

Factors Influencing Background Incidence Rate Calculation: Systematic Empirical Evaluation Across an International Network of Observational Databases

Parasitic infections related to anti-type 2 immunity monoclonal antibodies: a disproportionality analysis in the food and drug administration’s adverse event reporting system (FAERS)

Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets

Increasing trust in real-world evidence through evaluation of observational data quality

Characterising the treatment of thromboembolic events after COVID-19 vaccination in 4 European countries and the US: An international network cohort study

Validation of automatic measurement of QT interval variability

Finding a short and accurate decision rule in disjunctive normal form by exhaustive search

International cohort study indicates no association between alpha-1 blockers and susceptibility to COVID-19 in benign prostatic hyperplasia patients

Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

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