| Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative TD Bennett, RA Moffitt, JG Hajagos, B Amor, A Anand, MM Bissell, ... JAMA network open 4 (7), e2116901-e2116901, 2021 | 185 | 2021 |
| Outcomes of COVID-19 in patients with cancer: report from the National COVID Cohort Collaborative (N3C) N Sharafeldin, B Bates, Q Song, V Madhira, Y Yan, S Dong, E Lee, ... Journal of Clinical Oncology 39 (20), 2232, 2021 | 123 | 2021 |
| A Multifaceted benchmarking of synthetic electronic health record generation models C Yan*, Y Yan*, Z Wan*, Z Zhang, L Omberg, J Guinney, SD Mooney, ... Nature Communications 13 (1), 7609, 2022 | 35 | 2022 |
| A continuously benchmarked and crowdsourced challenge for rapid development and evaluation of models to predict COVID-19 diagnosis and hospitalization Y Yan, T Schaffter, T Bergquist, T Yu, J Prosser, Z Aydin, A Jabeer, ... JAMA Network Open 4 (10), e2124946-e2124946, 2021 | 11 | 2021 |
| Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction T Bergquist*, Y Yan*, T Schaffter, T Yu, V Pejaver, N Hammarlund, ... Journal of the American Medical Informatics Association 27 (9), 1393-1400, 2020 | 11 | 2020 |
| Evaluation of crowdsourced mortality prediction models as a framework for assessing AI in medicine T Bergquist, T Schaffter, Y Yan, T Yu, J Prosser, J Gao, G Chen, ... medRxiv, 2021.01. 18.21250072, 2021 | 5 | 2021 |
| Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine T Bergquist, T Schaffter, Y Yan, T Yu, J Prosser, J Gao, G Chen, ... Journal of the American Medical Informatics Association 31 (1), 35-44, 2024 | | 2024 |
| The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models Y Yan, T Yu, K Muenzen, S Liu, C Boyle, G Koslowski, J Zheng, ... arXiv preprint arXiv:2206.14181, 2022 | | 2022 |
| Uma abordagem de modelo para dados para criar algoritmos precisos de aprendizado de máquina em dados de EHR Y Yan | | 2022 |
| A Model-to-data Approach for Building Accurate Machine Learning Algorithms on EHR Data Y Yan University of Washington, 2022 | | 2022 |
