| The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies AF Markus, JA Kors, PR Rijnbeek Journal of biomedical informatics 113, 103655, 2021 | 338 | 2021 |
| Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network RD Williams, AF Markus, C Yang, TD Salles, T Falconer, J Jonnagaddala, ... MedRxiv, 2020.05. 26.20112649, 2020 | 31 | 2020 |
| Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review C Yang, JA Kors, S Ioannou, LH John, AF Markus, A Rekkas, ... Journal of the American Medical Informatics Association 29 (5), 983-989, 2022 | 30 | 2022 |
| Use of unstructured text in prognostic clinical prediction models: a systematic review TM Seinen, EA Fridgeirsson, S Ioannou, D Jeannetot, LH John, JA Kors, ... Journal of the American Medical Informatics Association 29 (7), 1292-1302, 2022 | 24 | 2022 |
| Implementation of the COVID-19 vulnerability index across an international network of health care data sets: collaborative external validation study JM Reps, C Kim, RD Williams, AF Markus, C Yang, T Duarte-Salles, ... JMIR medical informatics 9 (4), e21547, 2021 | 16 | 2021 |
| Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network RD Williams, AF Markus, C Yang, T Duarte-Salles, SL DuVall, T Falconer, ... BMC Medical Research Methodology 22 (1), 1-13, 2022 | 14 | 2022 |
| Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ... IEEE transactions on technology and society 3 (4), 272-289, 2022 | 11 | 2022 |
| Can we trust the prediction model? Demonstrating the importance of external validation by investigating the COVID-19 Vulnerability (C-19) Index across an international network … JM Reps, C Kim, RD Williams, AF Markus, C Yang, TD Salles, T Falconer, ... medRxiv, 2020.06. 15.20130328, 2020 | 10 | 2020 |
| Eliminating transplant waiting time inequities–With an application to kidney allocation in the USA J Van de Klundert, L van der Hagen, A Markus European Journal of Operational Research 297 (3), 977-985, 2022 | 4 | 2022 |
| Does competition improve hospital performance: a DEA based evaluation from the Netherlands P Dohmen, M van Ineveld, A Markus, L van der Hagen, J van de Klundert The European Journal of Health Economics 24 (6), 999-1017, 2023 | 3 | 2023 |
| Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network (preprint) RD Williams, AF Markus, C Yang, TD Salles, SL Duvall, T Falconer, ... | 2 | 2020 |
| Understanding the Size of the Feature Importance Disagreement Problem in Real-World Data AF Markus, EA Fridgeirsson, JA Kors, KMC Verhamme, JM Reps, ... ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 1 | 2023 |
| Characterising the treatment of thromboembolic events after COVID-19 vaccination in 4 European countries and the US: An international network cohort study AF Markus, VY Strauss, E Burn, X Li, A Delmestri, C Reich, C Yin, ... Frontiers in Pharmacology 14, 1118203, 2023 | 1 | 2023 |
| TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains AF Markus, KMC Verhamme, JA Kors, PR Rijnbeek Computer Methods and Programs in Biomedicine 225, 107081, 2022 | 1 | 2022 |
| TreatmentPatterns: An R package to analyze treatment patterns of a study population of interest AF Markus, KMC Verhamme, JA Kors, PR Rijnbeek medRxiv, 2022.01. 24.22269588, 2022 | 1 | 2022 |
| Semantic Meaningfulness: Evaluating Counterfactual Approaches for Real-World Plausibility and Feasibility J Höllig, AF Markus, J de Slegte, P Bagave World Conference on Explainable Artificial Intelligence, 636-659, 2023 | | 2023 |
| Challenges of Estimating Global Feature Importance in Real-World Health Care Data AF Markus, EA Fridgeirsson, JA Kors, K Verhamme, PR Rijnbeek Caring is Sharing–Exploiting the Value in Data for Health and Innovation …, 2023 | | 2023 |
| Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases AF Markus, PR Rijnbeek, JM Reps Machine Learning for Healthcare Conference, 828-852, 2022 | | 2022 |
| Real-world treatment patterns of newly diagnosed patients with asthma and/or COPD A Markus, P Rijnbeek, J Kors, G Brusselle, E Burn, D Prieto-Alhambra, ... European Respiratory Journal 58 (suppl 65), 2021 | | 2021 |
| Can we trust the prediction model?: Illustrating the importance of external validation by implementing the COVID-19 Vulnerability (C-19) Index across an international network … JM Reps, C Kim, RD Williams, AF Markus, C Yang, TD Salles, T Falconer, ... JMIR Medical Informatics, 2021 | | 2021 |
