| Domain-specific language model pretraining for biomedical natural language processing Y Gu, R Tinn, H Cheng, M Lucas, N Usuyama, X Liu, T Naumann, J Gao, ... ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021 | 1463 | 2021 |
| Clinical concept identification, extraction, and prediction system and related methods M Lucas, J Ozeran, J Taylor, L Fernandes US Patent 10,957,433, 2021 | 106 | 2021 |
| Mobile supplementation, extraction, and analysis of health records MR Lucas, J Ozeran, JL Taylor, LE Fernandes, D Neems, H Lane, ... US Patent 10,395,772, 2019 | 61 | 2019 |
| Mobile supplementation, extraction, and analysis of health records MR Lucas, J Ozeran, JL Taylor, LE Fernandes, D Neems, H Lane, ... US Patent 10,902,952, 2021 | 21 | 2021 |
| Scaling semi-supervised naive bayes with feature marginals M Lucas, D Downey Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 14 | 2013 |
| Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision S Preston, M Wei, R Rao, R Tinn, N Usuyama, M Lucas, Y Gu, ... Patterns 4 (4), 2023 | 7 | 2023 |
| Mobile supplementation, extraction, and analysis of health records MR Lucas, J Ozeran, JL Taylor, LE Fernandes, D Neems, H Lane, ... US Patent 11,532,397, 2022 | 4 | 2022 |
| Towards structuring real-world data at scale: Deep learning for extracting key oncology information from clinical text with patient-level supervision S Preston, M Wei, R Rao, R Tinn, N Usuyama, M Lucas, R Weerasinghe, ... arXiv preprint arXiv:2203.10442, 2022 | 4 | 2022 |
| OncoBERT: building an interpretable transfer learning bidirectional encoder representations from transformers framework for longitudinal survival prediction of cancer patients H Lin, JB Ginart, W Chen, Y Interian, H Gong, B Liu, T Upadhaya, J Lupo, ... | 2 | 2023 |
Doug DowneyAllen Institute for AI and Northwestern UniversityVerified email at eecs.northwestern.edu
