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Junghwan Lee
Junghwan Lee
在 gatech.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
332021
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
302022
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
292019
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
202021
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
122021
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
112021
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
72023
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
52022
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
42022
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
32023
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
22023
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
22022
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
12023
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
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