Rijnbeek, Peter

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

Markus, A. F., Kors, J. A., & Rijnbeek, P. R. (2021) · Journal of Biomedical Informatics

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 811

Risks and clinical predictors of cirrhosis and hepatocellular carcinoma diagnoses in adults with diagnosed NAFLD: real-world study of 18 million patients in four European cohorts

Alexander, M., Loomis, A. K., van der Lei, J., Duarte-Salles, T., Prieto-Alhambra, D., Ansell, D., Pasqua, A., Lapi, F., Rijnbeek, P., Mosseveld, M., et al. (2019) · BMC Medicine

Liver Disease Diagnosis and TreatmentLiver Diseases and Immunity

Cited by 317

Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Lane, J. C. E., Weaver, J., Kostka, K., Duarte-Salles, T., Abrahao, M. T. F., Alghoul, H., Alser, O., Alshammari, T. M., Biedermann, P., Banda, J. M., et al. (2020) · The Lancet Rheumatology

Rheumatoid Arthritis Research and TherapiesPharmacovigilance and Adverse Drug Reactions

Cited by 258

Non-alcoholic fatty liver disease and risk of incident acute myocardial infarction and stroke: findings from matched cohort study of 18 million European adults

Alexander, M., Loomis, A. K., van der Lei, J., Duarte-Salles, T., Prieto-Alhambra, D., Ansell, D., Pasqua, A., Lapi, F., Rijnbeek, P., Mosseveld, M., et al. (2019) · BMJ

Liver Disease Diagnosis and TreatmentAlcohol Consumption and Health Effects

Cited by 254

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

Li, X., Ostropolets, A., Makadia, R., Shoaibi, A., Rao, G., Sena, A. G., Martinez-Hernandez, E., Delmestri, A., Verhamme, K., Rijnbeek, P. R., et al. (2021) · BMJ

Pharmacovigilance and Adverse Drug ReactionsSARS-CoV-2 and COVID-19 Research

Cited by 219

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

Reps, J. M., Schuemie, M. J., Suchard, M. A., Ryan, P. B., & Rijnbeek, P. R. (2018) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 205

Thyroid Function and Sudden Cardiac Death: A Prospective Population-Based Cohort Study

Chaker, L., van den Berg, M. E., Niemeijer, M. N., Franco, O. H., Dehghan, A., Hofman, A., Rijnbeek, P. R., Deckers, J. W., Eijgelsheim, M., Stricker, B. H. C., et al. (2016) · Circulation

Thyroid Disorders and TreatmentsCardiac electrophysiology and arrhythmias

Cited by 97

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Prats-Uribe, A., Sena, A. G., Lai, L. Y. H., Ahmed, W.-U.-R., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Carter, W., Casajust, P., et al. (2021) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 68

Background rates of five thrombosis with thrombocytopenia syndromes of special interest for COVID ‐19 vaccine safety surveillance: Incidence between 2017 and 2019 and patient profiles from 38.6 million people in six European countries

Burn, E., Li, X., Kostka, K., Stewart, H. M., Reich, C., Seager, S., Duarte‐Salles, T., Fernandez‐Bertolin, S., Aragón, M., Reyes, C., et al. (2022) · Pharmacoepidemiology and Drug Safety

Heparin-Induced Thrombocytopenia and ThrombosisPharmacovigilance and Adverse Drug Reactions

Cited by 43

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: Validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

Reps, J. M., Williams, R. D., You, S. C., Falconer, T., Minty, E., Callahan, A., Ryan, P. B., Park, R. W., Lim, H.-S., & Rijnbeek, P. (2020) · BMC Medical Research Methodology

Atrial Fibrillation Management and OutcomesMachine Learning in Healthcare

Cited by 40

Health-Analytics Data to Evidence Suite (HADES): open-source software for observational research.

Schuemie, M., Reps, J., Black, A., Defalco, F., Evans, L., Fridgeirsson, E., Gilbert, J. P., Knoll, C., Lavallee, M., Rao, G. A., et al. (2024) · Studies in Health Technology and Informatics

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 28

Evaluating a novel approach to stimulate open science collaborations: a case series of “study-a-thon” events within the OHDSI and European IMI communities

Hughes, N., Rijnbeek, P. R., van Bochove, K., Duarte-Salles, T., Steinbeisser, C., Vizcaya, D., Prieto-Alhambra, D., & Ryan, P. (2022) · JAMIA Open

Interdisciplinary Research and CollaborationResearch Data Management Practices

Cited by 11