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ORCIDTimothy Miller 0002
Person information
- affiliation: Harvard Medical School Boston, MA, USA
Other persons with the same name
- Timothy Miller — disambiguation page
- Tim Miller 0001
![[0000-0003-4908-6063]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4908-6063")
(aka: Timothy Miller 0001) — University of Queensland, Brisbane, Australia (and 2 more) - Timothy Miller 0003 — Marshall Space Flight Center, NASA, Huntsville, AL, USA
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Journal Articles
- 2023
[j2]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142: 104346 (2023)- 2022
- [j1]Dongfang Xu, Timothy Miller:
A simple neural vector space model for medical concept normalization using concept embeddings. J. Biomed. Informatics 130: 104080 (2022)
Conference and Workshop Papers
- 2023
- [c4]Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller:
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL 2023: 125-130 - [c3]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar:
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. BioNLP@ACL 2023: 461-467 - 2022
- [c2]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar:
Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING 2022: 2979-2991 - 2020
- [c1]Xiyu Ding, Mei-Hua Hall, Timothy Miller:
Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries. ClinicalNLP@EMNLP 2020: 35-40
Informal and Other Publications
- 2024
- [i5]Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman:
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR abs/2403.19511 (2024) - [i4]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar:
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? CoRR abs/2408.11854 (2024) - 2023
- [i3]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar:
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR abs/2306.05270 (2023) - 2021
- [i2]Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach:
Classifying Long Clinical Documents with Pre-trained Transformers. CoRR abs/2105.06752 (2021) - [i1]Dongfang Xu, Shan Chen, Timothy Miller:
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning. CoRR abs/2111.13726 (2021)
Coauthor Index
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