Cynthia Yang, MSc
Cynthia obtained her BSc (2017) and MSc (2019) in Econometrics from Erasmus University Rotterdam, where she focused on quantitative problem solving using machine learning techniques. Her thesis concerned creating personalised purchase frequency predictions in a business-to-business setting.
Her current interests include research on best practices for prognostic model development using observational health data.
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.
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.
Yang, C., Khalid, S., 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.
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.
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.