| 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 | 49* | 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 | 44 | 2022 |
| 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 | 40 | 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 | 26* | 2021 |
| A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data S Khalid, C Yang, C Blacketer, T Duarte-Salles, S Fernández-Bertolín, ... Computer Methods and Programs in Biomedicine 211, 106394, 2021 | 19 | 2021 |
| Development and external validation of prediction models for adverse health outcomes in rheumatoid arthritis: A multinational real-world cohort analysis C Yang, RD Williams, JN Swerdel, JR Almeida, ES Brouwer, E Burn, ... Seminars in arthritis and rheumatism 56, 152050, 2022 | 11 | 2022 |
| An ontology-enhanced hybrid approach to aspect-based sentiment analysis D de Heij, A Troyanovsky, C Yang, MZ Scharff, K Schouten, F Frasincar International Conference on Web Information Systems Engineering, 338-345, 2017 | 8 | 2017 |
| Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data C Yang, EA Fridgeirsson, JA Kors, JM Reps, PR Rijnbeek Journal of Big Data 11 (1), 1-17, 2024 | | 2024 |
| Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability? C Yang, EA Fridgeirsson, JA Kors, JM Reps, PR Rijnbeek, J Wong, ... Studies in health technology and informatics 302, 129-130, 2023 | | 2023 |
| OP0216 DEVELOPMENT AND VALIDATION OF PATIENT-LEVEL PREDICTION MODELS FOR ADVERSE HEALTH OUTCOMES AMONGST ADULT RA PATIENTS INITIATING FIRST-LINE TREATMENT OF METHOTREXATE … C Yang, R Williams, J Swerdel, M Jani, T Duarte-Salles, ... Annals of the Rheumatic Diseases 79 (Suppl 1), 134-134, 2020 | | 2020 |
| An initial investigation into more complex stacking methods to improve transportability of prediction models developed across multiple databases C Yang, EA Fridgeirsson, JA Kors, JM Reps, PR Rijnbeek, RD Williams, ... | | |
| Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data C Yang, EA Fridgeirsson, JA Kors, JM Reps, PR Rijnbeek | | |
| Best practices for prognostic model development using observational health data: a scoping review C Yang, JM Reps | | |
