Aniek Markus, MSc
Aniek obtained two bachelors in Econometrics and Economics (2017) and a master Business Analytics and Quantitative Marketing (2019) from Erasmus University Rotterdam. She wrote her master thesis on the causal effects of binary, continuous and multivariate treatments using propensity score methods. She worked as a research assistant at the Erasmus School of Health Policy and Management, where she investigated ethnic inequalities in deceased donor kidney allocation and the productivity of Dutch hospitals. Currently, she is pursuing a PhD at the department of Medical Informatics with a focus on explainable artificial intelligence.
Markus, A. F., Kors, J. A., & Rijnbeek, P. R. (2021). The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies. Journal of Biomedical Informatics, 113, 103655. https://doi.org/10.1016/j.jbi.2020.103655
Markus, A. F., Williams, R. D., Yang, C., Duarte Salles, T., Falconer, T., Jonnagaddala, J., . . . Rijnbeek, P. R. (2020). Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network. Available as pre-print on medRxiv: https://www.medrxiv.org/content/10.1101/2020.05.26.20112649v4