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Aniek Markus
Aniek Markus
Andere namenAniek F. Markus
Department of Medical Informatics, Erasmus MC
Geverifieerd e-mailadres voor erasmusmc.nl
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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
AF Markus, JA Kors, PR Rijnbeek
Journal of biomedical informatics 113, 103655, 2021
4432021
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), 35, 2022
452022
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
432022
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
382022
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
182021
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
162022
Seek COVER: development and validation of a personalized risk calculator for COVID-19 outcomes in an international network. medRxiv 2020
RD Williams, AF Markus, C Yang, TD Salles, T Falconer, J Jonnagaddala, ...
Clinical infectious diseases: an oficial publication of the Infectious …, 2020
112020
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
92020
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
42022
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
42022
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
32023
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
22023
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
12023
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
12023
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
12022
Trends in the development and validation of patient-level prediction models using electronic health record data: a systematic review
C Yang, JA Kors, S Ioannou, LH John, AF Markus, A Rekkas, M de Ridder, ...
12015
Real-world treatment trajectories of adults with newly diagnosed asthma or COPD
AF Markus, PR Rijnbeek, JA Kors, E Burn, T Duarte-Salles, M Haug, ...
BMJ Open Respiratory Research 11 (1), e002127, 2024
2024
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
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