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 A. Miller; Danielle Bitterman; Matthew Churpek; Majid Afshar

doi:10.18653/v1/2024.findings-emnlp.311

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 A. Miller, Danielle Bitterman, Matthew Churpek, Majid Afshar

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024
Editors	Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Publisher	Association for Computational Linguistics (ACL)
Pages	5414-5428
Number of pages	15
ISBN (Electronic)	9798891761681
DOIs	https://doi.org/10.18653/v1/2024.findings-emnlp.311
State	Published - 2024
Event	2024 Findings of the Association for Computational Linguistics, EMNLP 2024 - Hybrid, Miami, United States Duration: Nov 12 2024 → Nov 16 2024

Publication series

Name	EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024

Conference

Conference	2024 Findings of the Association for Computational Linguistics, EMNLP 2024
Country/Territory	United States
City	Hybrid, Miami
Period	11/12/24 → 11/16/24

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Computer Science Applications
Information Systems
Linguistics and Language

Access to Document

10.18653/v1/2024.findings-emnlp.311

Cite this

Gao, Y., Myers, S., Chen, S., Dligach, D., Miller, T. A., Bitterman, D., Churpek, M., & Afshar, M. (2024). When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024 (pp. 5414-5428). (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-emnlp.311

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? / Gao, Yanjun; Myers, Skatje; Chen, Shan et al.
EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. ed. / Yaser Al-Onaizan; Mohit Bansal; Yun-Nung Chen. Association for Computational Linguistics (ACL), 2024. p. 5414-5428 (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gao, Y, Myers, S, Chen, S, Dligach, D, Miller, TA, Bitterman, D, Churpek, M & Afshar, M 2024, When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? in Y Al-Onaizan, M Bansal & Y-N Chen (eds), EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024, Association for Computational Linguistics (ACL), pp. 5414-5428, 2024 Findings of the Association for Computational Linguistics, EMNLP 2024, Hybrid, Miami, United States, 11/12/24. https://doi.org/10.18653/v1/2024.findings-emnlp.311

Gao Y, Myers S, Chen S, Dligach D, Miller TA, Bitterman D et al. When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? In Al-Onaizan Y, Bansal M, Chen YN, editors, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Association for Computational Linguistics (ACL). 2024. p. 5414-5428. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024). doi: 10.18653/v1/2024.findings-emnlp.311

Gao, Yanjun ; Myers, Skatje ; Chen, Shan et al. / When Raw Data Prevails : Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. editor / Yaser Al-Onaizan ; Mohit Bansal ; Yun-Nung Chen. Association for Computational Linguistics (ACL), 2024. pp. 5414-5428 (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

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author = "Yanjun Gao and Skatje Myers and Shan Chen and Dmitriy Dligach and Miller, \{Timothy A.\} and Danielle Bitterman and Matthew Churpek and Majid Afshar",

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

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ASJC Scopus Subject Areas

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