Search Results - "Peter R. Rijnbeek"

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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 by Markus, Aniek F., Kors, Jan A., Rijnbeek, Peter R.

    Published in Journal of biomedical informatics (01-01-2021)
    “…[Display omitted] •Comprehensive survey to provide guidance and formalize the field of explainable AI.•Assessment of quantitative evaluation metrics for…”
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    Journal Article
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    External validation of existing dementia prediction models on observational health data by John, Luis H, Kors, Jan A, Fridgeirsson, Egill A, Reps, Jenna M, Rijnbeek, Peter R

    Published in BMC medical research methodology (05-12-2022)
    “…Many dementia prediction models have been developed, but only few have been externally validated, which hinders clinical uptake and may pose a risk if models…”
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    Predictive approaches to heterogeneous treatment effects: a scoping review by Rekkas, Alexandros, Paulus, Jessica K, Raman, Gowri, Wong, John B, Steyerberg, Ewout W, Rijnbeek, Peter R, Kent, David M, van Klaveren, David

    Published in BMC medical research methodology (23-10-2020)
    “…Recent evidence suggests that there is often substantial variation in the benefits and harms across a trial population. We aimed to identify regression…”
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    Estimating individualized treatment effects from randomized controlled trials: a simulation study to compare risk-based approaches by Rekkas, Alexandros, Rijnbeek, Peter R, Kent, David M, Steyerberg, Ewout W, van Klaveren, David

    Published in BMC medical research methodology (28-03-2023)
    “…Baseline outcome risk can be an important determinant of absolute treatment benefit and has been used in guidelines for "personalizing" medical decisions. We…”
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    Development and validation of a patient-level model to predict dementia across a network of observational databases by John, Luis H, Fridgeirsson, Egill A, Kors, Jan A, Reps, Jenna M, Williams, Ross D, Ryan, Patrick B, Rijnbeek, Peter R

    Published in BMC medicine (29-07-2024)
    “…A prediction model can be a useful tool to quantify the risk of a patient developing dementia in the next years and take risk-factor-targeted intervention…”
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    Normal Values of Corrected Heart-Rate Variability in 10-Second Electrocardiograms for All Ages by van den Berg, Marten E, Rijnbeek, Peter R, Niemeijer, Maartje N, Hofman, Albert, van Herpen, Gerard, Bots, Michiel L, Hillege, Hans, Swenne, Cees A, Eijgelsheim, Mark, Stricker, Bruno H, Kors, Jan A

    Published in Frontiers in physiology (27-04-2018)
    “…Heart-rate variability (HRV) measured on standard 10-s electrocardiograms (ECGs) has been associated with increased risk of cardiac and all-cause mortality,…”
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    Advancing the use of real world evidence in health technology assessment: insights from a multi-stakeholder workshop by Claire, Ravinder, Elvidge, Jamie, Hanif, Shahid, Goovaerts, Hannah, Rijnbeek, Peter R, Jónsson, Páll, Facey, Karen, Dawoud, Dalia

    Published in Frontiers in pharmacology (2023)
    “…Real-world evidence (RWE) in health technology assessment (HTA) holds significant potential for informing healthcare decision-making. A multistakeholder…”
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    Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data by Yang, Cynthia, Fridgeirsson, Egill A., Kors, Jan A., Reps, Jenna M., Rijnbeek, Peter R.

    Published in Journal of big data (01-12-2024)
    “…Background There is currently no consensus on the impact of class imbalance methods on the performance of clinical prediction models. We aimed to empirically…”
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    Normal values of the electrocardiogram for ages 16–90 years by Rijnbeek, Peter R., PhD, van Herpen, Gerard, MD, PhD, Bots, Michiel L., MD, PhD, Man, Sumche, MD, Verweij, Niek, MD, Hofman, Albert, MD, PhD, Hillege, Hans, MD, PhD, Numans, Matthijs E., MD, PhD, Swenne, Cees A., PhD, Witteman, Jacqueline C.M., PhD, Kors, Jan A., PhD

    Published in Journal of electrocardiology (01-11-2014)
    “…Abstract Introduction To establish an up-to-date and comprehensive set of normal values for the clinically current measurements in the adult ECG, covering all…”
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    Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability by Reps, Jenna Marie, Williams, Ross D, Schuemie, Martijn J, Ryan, Patrick B, Rijnbeek, Peter R

    “…Prognostic models that are accurate could help aid medical decision making. Large observational databases often contain temporal medical data for large and…”
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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 by Reps, Jenna M., Ryan, Patrick B., Rijnbeek, Peter R., Schuemie, Martijn J.

    Published in Journal of big data (16-08-2021)
    “…Background The design used to create labelled data for training prediction models from observational healthcare databases (e.g., case-control and cohort) may…”
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    Finding a short and accurate decision rule in disjunctive normal form by exhaustive search by Rijnbeek, Peter R., Kors, Jan A.

    Published in Machine learning (01-07-2010)
    “…Greedy approaches suffer from a restricted search space which could lead to suboptimal classifiers in terms of performance and classifier size. This study…”
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