Timothy Miller
Affiliations: | Harvard - Boston Children's Hospital |
Area:
Computer science, natural language processingGoogle:
"Timothy Miller"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| William E. Schuler | grad student | ||
| Guergana K. Savova | post-doc | (LinguisTree) |
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Publications
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| Zhou W, Dligach D, Afshar M, et al. (2023) Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2023: 125-130 |
| Miller T, Bethard S, Dligach D, et al. (2023) End-to-end clinical temporal information extraction with multi-head attention. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2023: 313-319 |
| Zhou W, Yetisgen M, Afshar M, et al. (2023) Improving model transferability for clinical note section classification models using continued pretraining. Journal of the American Medical Informatics Association : Jamia |
| Gao Y, Dligach D, Miller T, et al. (2023) Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2023: 461-467 |
| Chen S, Guevara M, Ramirez N, et al. (2023) Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy. Jco Clinical Cancer Informatics. 7: e2300048 |
| Sharma B, Gao Y, Miller T, et al. (2023) Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2023: 78-85 |
| Derton A, Guevara M, Chen S, et al. (2023) Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes. Jco Clinical Cancer Informatics. 7: e2200196 |
| Zhou W, Yetisgen M, Afshar M, et al. (2023) Improving Model Transferability for Clinical Note Section Classification Models Using Continued Pretraining. Medrxiv : the Preprint Server For Health Sciences |
| Gao Y, Dligach D, Miller T, et al. (2023) Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. Journal of Biomedical Informatics. 142: 104346 |
| Bitterman DS, Goldner E, Finan S, et al. (2023) An end-to-end natural language processing system for automatically extracting radiotherapy events from clinical texts: NLP to extract radiotherapy events from text. International Journal of Radiation Oncology, Biology, Physics |