Moons, Karel G. M.
Utrecht University · University Medical Center Utrecht
92 papers on CoChatORCID 0000-0003-2118-004X
Most cited papers
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Prediction Models for Prolonged Intensive Care Unit Stay After Cardiac Surgery: Systematic Review and Validation Study
Ettema, R. G. A., Peelen, L. M., Schuurmans, M. J., Nierich, A. P., Kalkman, C. J., & Moons, K. G. M. (2010) · Circulation
Cardiac Valve Diseases and TreatmentsCardiac, Anesthesia and Surgical Outcomes
Cited by 130
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External validation of prognostic models to predict risk of gestational diabetes mellitus in one Dutch cohort: prospective multicentre cohort study
Lamain-de Ruiter, M., Kwee, A., Naaktgeboren, C. A., de Groot, I., Evers, I. M., Groenendaal, F., Hering, Y. R., Huisjes, A. J. M., Kirpestein, C., Monincx, W. M., et al. (2016) · BMJ
Gestational Diabetes Research and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 123
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Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
Andaur Navarro, C. L., Damen, J. A. A., van Smeden, M., Takada, T., Nijman, S. W. J., Dhiman, P., Ma, J., Collins, G. S., Bajpai, R., Riley, R. D., et al. (2023) · Journal of Clinical Epidemiology
Artificial Intelligence in HealthcareStatistical Methods in Epidemiology
Cited by 121
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Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance
Van Calster, B., Collins, G. S., Vickers, A. J., Wynants, L., Kerr, K. F., Barreñada, L., Varoquaux, G., Singh, K., Moons, K. G., Hernandez-Boussard, T., et al. (2025) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationStatistical Methods in Epidemiology
Cited by 112
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Comparing risk prediction models
Collins, G. S., & Moons, K. G. M. (2012) · BMJ
Statistical Methods in EpidemiologyMeta-analysis and systematic reviews
Cited by 110
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Value of composite reference standards in diagnostic research
Naaktgeboren, C. A., Bertens, L. C. M., Smeden, M. V., Groot, J. A. H. D., Moons, K. G. M., & Reitsma, J. B. (2013) · BMJ
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 105
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Parity, breastfeeding and risk of coronary heart disease: A pan-European case–cohort study
Peters, S. A., van der Schouw, Y. T., Wood, A. M., Sweeting, M. J., Moons, K. G., Weiderpass, E., Arriola, L., Benetou, V., Boeing, H., Bonnet, F., et al. (2016) · European Journal of Preventive Cardiology
Cancer Risks and FactorsBreastfeeding Practices and Influences
Cited by 80
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Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
Dhiman, P., Ma, J., Andaur Navarro, C. L., Speich, B., Bullock, G., Damen, J. A. A., Hooft, L., Kirtley, S., Riley, R. D., Van Calster, B., et al. (2022) · Diagnostic and Prognostic Research
Statistical Methods in EpidemiologyMachine Learning in Healthcare
Cited by 79
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Meta‐analysis and aggregation of multiple published prediction models
Debray, T. P. A., Koffijberg, H., Nieboer, D., Vergouwe, Y., Steyerberg, E. W., & Moons, K. G. M. (2014) · Statistics in Medicine
Statistical Methods in EpidemiologyMeta-analysis and systematic reviews
Cited by 73
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Transparent Reporting of Multivariable Prediction Models in Journal and Conference Abstracts: TRIPOD for Abstracts
Heus, P., Reitsma, J. B., Collins, G. S., Damen, J. A. A. G., Scholten, R. J. P. M., Altman, D. G., Moons, K. G. M., & Hooft, L. (2020) · Annals of Internal Medicine
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 70
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Signs of meningeal irritation at the emergency department: How often bacterial meningitis?
OOSTENBRINK, R., MOONS, K. G. M., THEUNISSEN, C. C. W., DERKSEN-LUBSEN, G., GROBBEE, D. E., & MOLL, H. A. (2001) · Pediatric Emergency Care
Bacterial Infections and VaccinesInfectious Encephalopathies and Encephalitis
Cited by 66
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Metrics reloaded: Recommendations for image analysis validation
Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., et al. (2022) · arXiv
Cell Image Analysis TechniquesMedical Image Segmentation Techniques
Cited by 59
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From text to treatment: the crucial role of validation for generative large language models in health care
de Hond, A., Leeuwenberg, T., Bartels, R., van Buchem, M., Kant, I., Moons, K. G., & van Smeden, M. (2024) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 53
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Clinical characteristics associated with diagnostic delay of pulmonary embolism in primary care: a retrospective observational study
Hendriksen, J. M. T., Koster-van Ree, M., Morgenstern, M. J., Oudega, R., Schutgens, R. E. G., Moons, K. G. M., & Geersing, G.-J. (2017) · BMJ Open
Venous Thromboembolism Diagnosis and ManagementClinical Reasoning and Diagnostic Skills
Cited by 48
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Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review
Dhiman, P., Ma, J., Andaur Navarro, C. L., Speich, B., Bullock, G., Damen, J. A. A., Hooft, L., Kirtley, S., Riley, R. D., Van Calster, B., et al. (2023) · Journal of Clinical Epidemiology
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 41
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Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional study
Schuit, E., Venekamp, R. P., Hooft, L., Veldhuijzen, I. K., van den Bijllaardt, W., Pas, S. D., Zwart, V. F., Lodder, E. B., Hellwich, M., Koppelman, M., et al. (2022) · BMJ
SARS-CoV-2 detection and testingCOVID-19 Clinical Research Studies
Cited by 41
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Effectiveness of contact tracing apps for SARS-CoV-2: a rapid systematic review
Jenniskens, K., Bootsma, M. C. J., Damen, J. A. A. G., Oerbekke, M. S., Vernooij, R. W. M., Spijker, R., Moons, K. G. M., Kretzschmar, M. E. E., & Hooft, L. (2021) · BMJ Open
COVID-19 Digital Contact TracingCOVID-19 epidemiological studies
Cited by 40
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Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application
Kaul, T., Damen, J. A. A., Wynants, L., Van Calster, B., van Smeden, M., Hooft, L., & Moons, K. G. M. (2025) · Journal of Clinical Epidemiology
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 16
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What influences the outcome of active disinvestment processes in healthcare? A qualitative interview study on five recent cases of active disinvestment
Rotteveel, A. H., Lambooij, M. S., van de Rijt, J. J. A., van Exel, J., Moons, K. G. M., & de Wit, G. A. (2021) · BMC Health Services Research
Health Systems, Economic Evaluations, Quality of LifePharmaceutical Economics and Policy
Cited by 16
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Write your abstracts carefully—The impact of abstract reporting quality on findability by semi-automated title-abstract screening tools
Spiero, I., Leeuwenberg, A. M., Moons, K. G. M., Hooft, L., & Damen, J. A. A. (2025) · Journal of Clinical Epidemiology
Meta-analysis and systematic reviewsAcademic Writing and Publishing
Cited by 3
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