Timothy Miller

According to our database, Timothy Miller authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar

CoRR, 2024

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.

Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman

CoRR, 2024

2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar

J. Biomed. Informatics, June, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar

CoRR, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.

Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

A simple neural vector space model for medical concept normalization using concept embeddings.

Dongfang Xu, Timothy Miller

J. Biomed. Informatics, 2022

Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning.

Dongfang Xu, Shan Chen, Timothy Miller

CoRR, 2021

Classifying Long Clinical Documents with Pre-trained Transformers.

Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach

CoRR, 2021

2020

Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries.

Xiyu Ding, Mei-Hua Hall, Timothy Miller

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020