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 | 2132 | 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 | 153 | 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 | 75 | 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 | 30 | 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 | 16 | 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 | 13 | 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 | 9 | 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, ... | 3 | 2023 |