Background

Cynthia obtained her BSc (2017) and MSc (2019) in Econometrics from Erasmus University Rotterdam, where she focused on quantitative marketing using machine learning. Her PhD research focuses on best practices for clinical prediction modeling using observational health data.

Publications

Cynthia Yang, Jan A Kors, ..., Peter R Rijnbeek, Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review, Journal of the American Medical Informatics Association, Volume 29, Issue 5, May 2022, Pages 983–989, https://doi.org/10.1093/jamia/ocac002.

Khalid, S., Yang, C., Blacketer, C., ..., Rijnbeek, P.R., Reps, J.M. (2021). A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data. Computer Methods and Programs in Biomedicine, 211, 106394. https://doi.org/10.1016/j.cmpb.2021.106394. 

Yang, C., Williams, R.D., Swerdel, J.N., ..., Rijnbeek, P.R. (2022). Development and external validation of prediction models for adverse health outcomes in rheumatoid arthritis: a multinational real-world cohort analysis. Seminars in Arthritis and Rheumatism, 56, 152050. 10.1016/j.semarthrit.2022.152050.

Yang, C., Fridgeirsson, E.A., Kors, J.A. et al. Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data. J Big Data 11, 7 (2024). https://doi.org/10.1186/s40537-023-00857-7.

Williams, R.D., Markus, A.F., Yang, C., ..., Reps, J.M., Rijnbeek, P.R., Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network. BMC Med Res Methodol 22, 35 (2022). https://doi.org/10.1186/s12874-022-01505-z.

Reps J, Kim C, Williams R, Markus A, Yang C, ..., Rijnbeek P. Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study. JMIR Med Inform 2021;9(4):e21547. https://doi.org/10.2196/21547.

Tom M Seinen, Egill A Fridgeirsson, Solomon Ioannou, Daniel Jeannetot, Luis H John, Jan A Kors, Aniek F Markus, Victor Pera, Alexandros Rekkas, Ross D Williams, Cynthia Yang, Erik M van Mulligen, Peter R Rijnbeek, Use of unstructured text in prognostic clinical prediction models: a systematic review, Journal of the American Medical Informatics Association, 2022, ocac058, https://doi.org/10.1093/jamia/ocac058.

Presentations

Yang C, Williams R, Swerdel J, ..., Rijnbeek P. OP0216 DEVELOPMENT AND VALIDATION OF PATIENT-LEVEL PREDICTION MODELS FOR ADVERSE HEALTH OUTCOMES AMONGST ADULT RA PATIENTS INITIATING FIRST-LINE TREATMENT OF METHOTREXATE MONOTHERAPY: A MULTINATIONAL REAL-WORLD COHORT ANALYSIS INCLUDING 164,735 SUBJECTS. Annals of the Rheumatic Diseases 2020;79:134. https://doi.org/10.1136/annrheumdis-2020-eular.3606.

Yang, C., Fridgeirsson, E. A., Kors, J. A., Reps, J. M., Rijnbeek, P. R., Wong, J., & Williams, R. D. (2023). Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?. Studies in health technology and informatics, 302, 129-130. https://doi.org/10.3233/SHTI230080.