A retrospective analysis of COVID-19 mRNA vaccine breakthrough infections–risk factors and vaccine effectiveness C Liu, J Lee, C Ta, A Soroush, JR Rogers, JH Kim, K Natarajan, J Zucker, ... Medrxiv, 2021 | 57* | 2021 |
Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review JR Rogers, J Lee, Z Zhou, YK Cheung, G Hripcsak, C Weng Journal of the American Medical Informatics Association 28 (1), 144-154, 2021 | 33 | 2021 |
Deep learning for rare disease: A scoping review J Lee, C Liu, J Kim, Z Chen, Y Sun, JR Rogers, WK Chung, C Weng Journal of Biomedical Informatics 135, 104227, 2022 | 30 | 2022 |
Ensembles of natural language processing systems for portable phenotyping solutions C Liu, CN Ta, JR Rogers, Z Li, J Lee, AM Butler, N Shang, FSP Kury, ... Journal of biomedical informatics 100, 103318, 2019 | 29 | 2019 |
Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials JH Kim, CN Ta, C Liu, C Sung, AM Butler, LA Stewart, L Ena, JR Rogers, ... Journal of the American Medical Informatics Association 28 (1), 14-22, 2021 | 20 | 2021 |
Comparative effectiveness of medical concept embedding for feature engineering in phenotyping J Lee, C Liu, JH Kim, A Butler, N Shang, C Pang, K Natarajan, P Ryan, ... JAMIA open 4 (2), ooab028, 2021 | 12 | 2021 |
Severity prediction for COVID-19 patients via recurrent neural networks J Lee, C Ta, JH Kim, C Liu, C Weng AMIA Summits on Translational Science Proceedings 2021, 374, 2021 | 11 | 2021 |
Training neural networks for sequential change-point detection J Lee, Y Xie, X Cheng ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
Predicting age-related macular degeneration progression with longitudinal fundus images using deep learning J Lee, T Wanyan, Q Chen, TDL Keenan, BS Glicksberg, EY Chew, Z Lu, ... International Workshop on Machine Learning in Medical Imaging, 11-20, 2022 | 5 | 2022 |
A machine learning approach to identifying delirium from electronic health records JH Kim, M Hua, RA Whittington, J Lee, C Liu, CN Ta, ER Marcantonio, ... JAMIA open 5 (2), ooac042, 2022 | 4 | 2022 |
COHD-COVID: Columbia Open Health Data for COVID-19 Research J Lee, JH Kim, C Liu, G Hripcsak, C Ta, C Weng medRxiv, 2020.11. 17.20232983, 2020 | 4* | 2020 |
Deep Attention Q-Network for Personalized Treatment Recommendation S Ma, J Lee, N Serban, S Yang 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 329-337, 2023 | 3 | 2023 |
Principal Investigators’ Perceptions on Factors Associated with Successful Recruitment in Clinical Trials B Idnay, A Butler, Y Fang, Z Li, J Lee, C Ta, C Liu, B Ruotolo, C Yuan, ... AMIA Summits on Translational Science Proceedings 2023, 281, 2023 | 2 | 2023 |
Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification C Liu, H Liu, C Ta, J Roger, A Butler, J Lee, J Kim, N Shang, C Weng MEDINFO 2021: One World, One Health—Global Partnership for Digital …, 2022 | 2 | 2022 |
Uncovering Key Clinical Trial Features Influencing Recruitment B Idnay, Y Fang, A Butler, J Moran, Z Li, J Lee, C Ta, C Liu, C Yuan, ... Journal of Clinical and Translational Science, 1-28, 2023 | 1 | 2023 |
Transformer Conformal Prediction for Time Series J Lee, C Xu, Y Xie arXiv preprint arXiv:2406.05332, 2024 | | 2024 |
Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate Treatment Effect Estimation from Electronic Health Records J Lee, S Ma, N Serban, S Yang arXiv e-prints, arXiv: 2406.08851, 2024 | | 2024 |
Neural Network-based CUSUM for Online Change-point Detection T Gong, J Lee, X Cheng, Y Xie arXiv preprint arXiv:2210.17312, 2024 | | 2024 |
Federated Learning in Temporal Heterogeneity J Lee arXiv preprint arXiv:2309.09381, 2023 | | 2023 |
Predicting 2-year and 5-year Late AMD Progression using Deep Learning with Longitudinal Fundus Images J Lee, T Wanyan, Q Chen, TDL Keenan, EY Chew, Z Lu, F Wang, Y Peng Investigative Ophthalmology & Visual Science 63 (7), 3003–F0273-3003–F0273, 2022 | | 2022 |